INNOVATION
APPLICATIONS AND
MATURITY OF
INDIAN ANALYTICS
FOREWORD
Moreover, in the age of social sharing, businesses
are awash with more data than they once dreamed
possible, givi...
MARKET SIZE
Global market size for various analytic capabilities:
Category Sub-category 2014 2019 Forecast CAGR
2014 - 201...
Six drivers of analytics
New technology drives
analytics adoption
Ease of data
consolidation
Increased
affordability of
an...
KEY BUSINESS-SIDE TRENDS
Increased regulatory and compliance requirement
• Increased pressure for regulatory compliance an...
In association with Hansa Cequity
EVOLUTION OF ANALYTICS
Source: CRISIL, GR&A analysis
Prescriptive
analytics
Predictive
a...
APPLICATION, INNOVATION AND MATURITY OF INDIAN ANALYTICS
In association with Hansa Cequity
Submissions, in the form of cas...
EXPERT REVIEW PANEL
In association with Hansa Cequity
U Dinesh Kumar
Professor QMIS Area, IIM Bangalore
Dr. V. Ravi
Profes...
With a data-driven marketing thinking and strategy, Hansa Cequity helps
companies build intelligent, intuitive and real-ti...
In association with Hansa Cequity
ANALYTICS
ACROSS
INDUSTRIES
In association with Hansa Cequity
NATURAL
RESOURCES
ANALYTICS IN
ANALYTICS IN MINING
With energy demands growing and the resources
required for this energy production becoming
harder and ...
Predictive Maintenance of Trucks for a Mining Major
In association with Hansa Cequity
RESULTS
• Alarms categorised into 5 ...
ANALYTICS IN ENERGY AND UTILITIES
Initiatives such as Automated Meter Infrastructure
(AMI) and Smart Grid are sometimes li...
Prediction of Wind Energy Production
In association with Hansa Cequity
RESULTS
• Forecasted wind energy supply in a power ...
Demand Forecasting Model
In association with Hansa Cequity
RESULTS
• Flexible and efficient planning and policy making for
...
Smart Meter
In association with Hansa Cequity
RESULTS
• Customers have been able to significantly reduce onsite
field mainte...
Real-time ETA and Seat Availability in Cluster Buses
In association with Hansa Cequity
RESULTS
• Live ETA Information avai...
Platform for Real-time Demand Predictions
In association with Hansa Cequity
RESULTS
• Increased the number of trips per ta...
Self Service IoT Analytics in Power Generation
In association with Hansa Cequity
RESULTS
• Potential savings of millions a...
In association with Hansa Cequity
ANALYTICS IN
HEALTHCARE
ANALYTICS IN HEALTHCARE
Healthcare organisations are increasingly using analytics to consume, unlock and apply new insight...
Stop the Rapid Spread of Infectious Diseases
In association with Hansa Cequity
• Real-time situational awareness of potent...
Prevent healthcare cost arising from preventable hospitalization
In association with Hansa Cequity
RESULTS
• Reduce hospit...
Patient Sentiment Analysis
In association with Hansa Cequity
• With real-time scores on patient experience,
healthcare org...
In association with Hansa Cequity
BANKING
ANALYTICS IN
Analytic solutions have grown tremendously over the last decade, in terms of their sophistication and the resulting busine...
Risk Management
In association with Hansa Cequity
RESULTS
• Overall GNPA has come down by 80% and
delinquency rates compar...
ATM Cash Forecasting
In association with Hansa Cequity
RESULTS
• Bringing down the surplus cash level (taken as ratio
of E...
Customer Centricity
In association with Hansa Cequity
RESULTS
• Customers who are analytically recommended and
are campaig...
Mortgage Survival Model
In association with Hansa Cequity
RESULTS
• Survival model accurately predicted the default and
th...
Application Scorecard for MSME Businesses
In association with Hansa Cequity
RESULTS
• Reduced turnaround time by 43%
• Dec...
In association with Hansa Cequity
TELECOM
ANALYTICS IN
ANALYTICS IN TELECOM
Network Data Analysis
• Proactive network monitoring
• Capacity planning
• Revenue assurance
Subscrib...
Mobile Money Life Cycle Analysis
In association with Hansa Cequity
RESULTS
• 25% increment in acquisition of mobile money
...
Integrated Solution for Enhanced Network Experience Management
In association with Hansa Cequity
RESULTS
• Reduced non-pro...
INSURANCE
ANALYTICS IN
In association with Hansa Cequity
ANALYTICS IN INSURANCE
Insurance companies have long understood the
importance of analytics. Today, the shifting
competiti...
Automated System for Fraud Identification
In association with Hansa Cequity
RESULTS
• Huge amount of savings on claim inves...
Prediction of Early Claim Propensity
In association with Hansa Cequity
RESULTS
• Annual savings of Rs.18-20 crores (potent...
Improve Insurance Premium Renewal Rate
In association with Hansa Cequity
RESULTS
• 4%-5% month-on-month renewal lift from ...
Customer Engagement
In association with Hansa Cequity
RESULTS
• Increased the revenue generation by 21%
• Increased the ac...
In association with Hansa Cequity
Predict Pure Premium Amount
RESULTS
• Identify policy risks which have low frequency and...
Insurance Solution for Delhi Earthquake Risk
In association with Hansa Cequity
RESULTS
• Better natural catastrophe risk m...
In association with Hansa Cequity
AVIATION
AND
AEROSPACE
ANALYTICS IN
ANALYTICS IN AVIATION AND AEROSPACE
Interestingly, the aviation sector is one of the strong
proponents of capturing the da...
Data-driven Forecasting for a Leading ME Airlines
In association with Hansa Cequity
RESULTS
• Better operational decision ...
Analytics Solution for a Leading Aircraft Engine Supplier Firm
In association with Hansa Cequity
RESULTS
• 82% reduction i...
RETAIL / CPG /
ECOMMERCE /
CONSUMER
DURABLES
ANALYTICS IN
In association with Hansa Cequity
RETAIL / CPG / ECOMMERCE / CONSUMER DURABLES
Analytics have become one of the most powerful tools
available to retailers, ...
Social Media Analytics
A Nasscom and Hansa Cequity initiative
RESULTS
• Increased reach on social media channels
• Social ...
Analytics Driven Personalisation and Recommendation Engine
In association with Hansa Cequity
RESULTS
• 10-12% improvement ...
In association with Hansa Cequity
DemandPlanner – Daily SKU Demand Forecasting
RESULTS
• Forecast accuracy achieved 85% -9...
In association with Hansa Cequity
Matrimony.com’s Intelligent Matchmaking Algorithm
RESULTS
• As a result of implementing ...
Market Mix Model
In association with Hansa Cequity
RESULTS
• The models are ‘live’ in select regions currently and are
bei...
Personalising Offerings to Customer Needs
In association with Hansa Cequity
RESULTS
• Realised a 7-9% reduction in out of ...
Omni-channel Supply Chain Simulation and Optimisation
In association with Hansa Cequity
RESULTS
• The sand box analysis pr...
Analytics is playing a critical role for NGOs, for various
government departments, for transport facilities and
other orga...
Compensation Modeler
In association with Hansa Cequity
RESULTS
• Determine compensation awards scientifically without
bias
...
Recruitment Analysis
In association with Hansa Cequity
RESULTS
• Improved speed of hiring by 200%
• Cut cost of hiring by ...
Improve Outcomes of Fund Raising
In association with Hansa Cequity
RESULTS
• Identified opportunities worth $ 50 Mn
• Overa...
Home Appliances Spare Part Recommender
In association with Hansa Cequity
RESULTS
• Reduction in repair resolution time
• R...
Market Mix Models
In association with Hansa Cequity
RESULTS
• Direct media effects contribution is in line with generic
ma...
Demand Forecast Accuracy
In association with Hansa Cequity
RESULTS
• Improved forecast accuracy of the demand planning
pro...
Personal Business Analytics Platform for ‘Reasons to Call’
In association with Hansa Cequity
RESULTS
• Increased revenue t...
Patent Analytics App
In association with Hansa Cequity
RESULTS
• Handle large data corpus and reduce insight
generation ti...
Big Data Enabled Architecture and Platform
In association with Hansa Cequity
RESULTS
• More than 5,000 vendor agencies are...
Real-time Trade Monitoring for a Leading Stock Exchange of India
In association with Hansa Cequity
RESULTS
• Improved agil...
Fraud Analytics
In association with Hansa Cequity
RESULTS
• Increased control to prevent fraud
• Stop infusion of fraudule...
Software Licensing Piracy
In association with Hansa Cequity
RESULTS
• Data from the pre-sales for creating target groups
c...
ANALYTICS IN HOSPITALITY
Over the past few years, hotel companies have been
investing in reporting and business intelligen...
Reducing Customer Churn
In association with Hansa Cequity
RESULTS
• Substantial lift (9% improvement from baseline) in
ide...
Improve RevPAR for a Hotel Chain
In association with Hansa Cequity
RESULTS
• Model demonstrated potential revenue increase...
ANALYTICS IN AGRICULTURE
World’s demand for food will grow significantly over the
next several decades as a result of popul...
Predicting Reserve Price for Tea
In association with Hansa Cequity
RESULTS
• Achieved 90% prediction for the top 25% of th...
Kg2ton - Crop Production Management System
In association with Hansa Cequity
RESULTS
• Improved operations in land mapping...
APPENDIX
In association with Hansa Cequity
In association with Hansa Cequity
ABIBA
ABIBA Systems is a leading
provider of advanced big
data analytics. For more
infor...
In association with Hansa Cequity
Axis Bank
Axis Bank is one of the
largest, most profitable and
fastest growing bank in
In...
In association with Hansa Cequity
Happiest Minds
Happiest Minds powers
digital transformation for
enterprises by deliverin...
In association with Hansa Cequity
L&T Technology Services
The company focuses on the
engineering services space,
partnerin...
In association with Hansa Cequity
TCG Digital (SkyTECH)
SkyTECH is part of The
Chatterjee Group (TCG) – a
New York based m...
MohanaKrishnan P, Director, NASSCOM. Mohan leads the
strategic Analytics & Business Process initiatives of
NASSCOM. In thi...
of 83

NASSCOM Report 24Jun FINAL copy

Published on: Mar 3, 2016
Source: www.slideshare.net


Transcripts - NASSCOM Report 24Jun FINAL copy

  • 1. INNOVATION APPLICATIONS AND MATURITY OF INDIAN ANALYTICS
  • 2. FOREWORD Moreover, in the age of social sharing, businesses are awash with more data than they once dreamed possible, giving birth to the need for hyper-personalisation, where campaigns are focused on data related to consumers’ behaviour, rather than just their demographic and psychographic data. With the explosion in data, rises the importance of analytics. Experts believe that 90% of the world’s data was created in the last two years. A Bain and Company Survey from 2014 reports that companies using data well are twice as likely to be in the top quartile of financial performance within their industries. Businesses are clear that they need the right set of products, tools and techniques to manage the data. But more so, they need the right type of talent to provide relevant insights. The shortage of the right talent also stems from the fact that analytics solutions are now accepted by several industries, R. Chandrasekhar President, NASSCOM S. Swaminathan & Ajay Kelkar Co-founders, Hansa Cequity For businesses these are times of exponential change. Customer connected by smartphones, high-speed mobile networks and social media platforms are forcing them to engage and react in real-time.The explosion of data means that new skill have to be acquired to integrate multiple data sets and derive insights from within it. Ever-changing regulatory frameworks further add to the complexity. Companies that lead the curve are the ones who have welcomed and embraced change. growing from being accepted only in industries like BFSI, retail, etc. The talent shortage is acute and according to a report by McKinsey Global Institute 2014, United States alone faces a shortage of 1,40,000 to 1,90,000 specialists with analytical expertise. India is strongly positioned to take advantage of these needs and help global and Indian firms with reliable and actionable insight-based analytical solutions. The formidable position of Indian analytics solution providers on the global space is attributed to a large talent pool and rich experience gathered over the years. NASSCOM and Hansa Cequity have put in a dedicated effort to map the analytics maturity of Indian firms and how these offerings and capabilities can be used to leverage the data revolution as it unveils itself. We trust you will find this report useful. As always, we welcome your feedback, suggestions and comments. 90%of the world’s data was created in the last two years 1,40,000 to 1,90,000 shortage of specialists with analytical expertise in the US alone In association with Hansa Cequity
  • 3. MARKET SIZE Global market size for various analytic capabilities: Category Sub-category 2014 2019 Forecast CAGR 2014 - 2019 Total market size Products and capabilities India dominates the supplier landscape catering to a large part of the total demand. Given its headstart, mature delivery models and domain expertise, India would maintain its dominance in the near to medium term. $96 billion Business analytics $41.0 billion $67 billion 10.3%. CRM analytics $4.2 billion $7.7 billion 12.83% Supply chain analytics $2.5 billion $4.8 billion 34.5% Risk analytics Risk calculation engines, score cards $6.9 billion $13 billion 13.5% Location analytics Geo-coding, geo-mapping $6.8 billion $11.8 billion 11.6% Query, reporting and analysis tools, content analytics, data warehousing platform Sales analytics, customer analytics, contact centre analytics, marketing analytics, web and social media analytics Supply chain planning and procurement, sales and operations, manufacturing, logistics Source: Markets and Markets Reports, NASSCOM Blueocean MI Report 2014 In association with Hansa Cequity
  • 4. Six drivers of analytics New technology drives analytics adoption Ease of data consolidation Increased affordability of analytical tools Companies using data well, lead the financial performance within their industries. Exponential increase in data generation Easy availability of talent Increased adoption of analytics offered by Software as a Service (SaaS) models Leveraging unstructured data through text analytics Mobile analytics expected to unlock significant value for organisations An analytics centered culture Analytics capabilities are being increasingly used across industries at various levels by companies in India and globally. Customer analytics is mission critical to businesses that want to succeed in the future. Research has shown that loyal customers are worth up to 10 times as much as their first purchase To succeed companies should focus their analytics energies on areas such as Customer insights and segmentation. Customer engagement. Customer service and support In association with Hansa Cequity Lower data storage costs fuels the growth
  • 5. KEY BUSINESS-SIDE TRENDS Increased regulatory and compliance requirement • Increased pressure for regulatory compliance and greater transparency in sectors like banking, insurance and healthcare is expected to increase the demand for analytics • Inadequacy of in-house and centers to adapt to complex risk compliance norms like Basel III and Solvency II, could led to greater demand for third-party services Increased availability of talent • As importance of analytics is growing exponentially, it is attracting talent from other streams who consider analytics as a long-term career option • Companies are hiring students from various streams and giving them in-house or outsourced training for faster deployment Increased C-suite attention • Top-performing organisations show a 5x higher usage of analytics as opposed to low performers • High performing CXOs will need to learn ways to integrate alaytics-based decision making Competitive and margin pressures • Analytics is fast moving from a discretionary spend category to an integral tool for competitive differentiation • Achieving competitive differentiation, growing revenue and cost reduction emerged as the top 3 challenges faced by organisations • Organisations that proactively use data generated insight appear to identify and predict trends better and are quick to adopt industry practices thus giving them a competitive edge Trends in the analytics landscape are going to change significantly in the next decade. Business-side trends will be driven by: Source: Avendus Capital, Analytics Outsourcing 2012, Sep 2012 In association with Hansa Cequity
  • 6. In association with Hansa Cequity EVOLUTION OF ANALYTICS Source: CRISIL, GR&A analysis Prescriptive analytics Predictive analytics Descriptive analytics • Mainly for structured data • Primarly leveraged for data reporting • Why did it happen? • When will it happen again? • What caused it to happen? • What can be done to avoid/replicate it? LevelofComplexity Behavioural analytics Constraint-based BI Visualisation Social network analytics Semantic analytics Time series analysis Data mining Extreme SQL Complex event processing Natural language processing Analytical database functions Multivariate stastical analysis Analytics as a separate value chain function Exponential growth in data volume, variety and velocity has facilitated the progress of analytics for better and more informed business insights In-database analytics late 1990s 2000 onwards Time Basic Analytics Big Data Analytics • What happened? • When did it happen? • What was the impact? Online Analytical Processing (OLAP) • Big Data analytics are where advanced analytical techniques are applied to Big Data sets • The term came into play in late 2011-early 2012 • Explores granular details of business operations that are generally not captured into a data warehouse or report • Answers questions that were previously considered beyond reach Standard reports Ad-hoc reports Query drill down Optimisation Stochastic optimisation Predictive modeling Statistical analysis Forecasting Alerts • Primarly known by the functional areas that are applied to. E.g., financial analytics, campaign analytics, store analytics etc. • Is leveraged for both structured and unstructured data • Also known as discovery analytics or exploratory analytics Advance Analytics
  • 7. APPLICATION, INNOVATION AND MATURITY OF INDIAN ANALYTICS In association with Hansa Cequity Submissions, in the form of case studies, were sought from Consumer/User firms of analytics solutions, Global-in-house Centres, Service providers & Product organizations in the area of Big Data and Analytics. The submissions were under four major business application areas viz., customer experience, revenue improvement, cost andoperational efficiencies, and risk and compliance management classified into descriptive, predictive, and prescriptive analytics. Whilst, the work undertaken could be for a domestic consumer or a global customer/principal, the work undertaken should have leveraged Indian capabilities. A total of more than 250 case studies were submitted by organisations representing providers, GICs and many Indian buyer organisations. The case studies provided a perspective on the application, innovation of the maturity of the work undertaken for different industries spanning BFSI, retail, agriculture, automotive, healthcare, telecom and a range of others. A large number of the submissions received were applied in India, especially by the Government or related agencies. The subsequent slides detail out the most innovative case studies we received as part of this initiative. Analytics capabilities and products offered by Indian firms are now highly mature.These solutions have over the years scaled up from descriptive analytics capabilities being used for reporting and business intelligence, to predictive modeling and later moving to prescriptive ones. It’s no surprise then that the analytics market in India is expected to grow at an impressive CAGR of 22.8% from 2014 to 2019. NASSCOM, in partnership with Hansa Cequity, undertook an exercise to understand the maturity of analytics in India. Due to the wide spectrum of analytics solutions, which make it difficult for businesses to build capabilities across the board, there is a need to explore possibilities of cross-leveraging of different capabilities being built in the country. This study also provides a platform to recognise the most innovative Indian analytics organisations that are creating immense business impact or value for its stakeholders. Analytics market in India is expected to grow 22.8% from 2014 to 2019. A total of more than 250 case studies were submitted by organisations representing providers, GICs and many Indian buyer organisations.
  • 8. EXPERT REVIEW PANEL In association with Hansa Cequity U Dinesh Kumar Professor QMIS Area, IIM Bangalore Dr. V. Ravi Professor, Institute for Development and Research in Banking Technology Pankaj Rai Analytics Director, Dell International Services Rajesh Ranjan Partner at Everest Group Amit Khanna Partner at KPMG Arnab K. Laha Professor Production and Quantitative Methods (P&QM), IIM Ahmedabad Nasscom acknowledges the commitment and efforts put in by its eminent panel in helping review and rate these case studies.
  • 9. With a data-driven marketing thinking and strategy, Hansa Cequity helps companies build intelligent, intuitive and real-time customer relationships. We enable this by leveraging the power of technology through proprietary and best-in-class marketing automation and analytics platforms. ABOUT HANSA CEQUITY Our data consultants understand and unify data from multiple sources. Our analysts and customer marketing specialists glean out insights and understanding of our client's customers or prospects. Our campaign management and digital marketing consultants then move in to create meaningful engagement opportunities in a multi-channel environment. 80 million customer records Handling 70 terabytes of data Over 500 million one-to-one campaigns Participating in millions of customer conversations www.cequitysolutions.com Helping India’s leading companies with their customer marketing efforts: Enriching Customer Equity FMCG TRAVEL & HOSPITALITYRETAILAUTOMOTIVE DTH & TELECOM NGO BANKING & FINANCIAL SERVICES E COMMERCE
  • 10. In association with Hansa Cequity ANALYTICS ACROSS INDUSTRIES
  • 11. In association with Hansa Cequity NATURAL RESOURCES ANALYTICS IN
  • 12. ANALYTICS IN MINING With energy demands growing and the resources required for this energy production becoming harder and harder to locate, analytics will be imperative in our efforts to meet future resource demands. Organisations should be looking to invest in their analytic capabilities now, allowing them to make the most of current deposits as well as assist in finding new deposits. • Reducing the time taken to locate natural resources • Reduced the costs associated with locating natural resources • Increasing the efficiency of both new and old deposits Key areas of analytics applications: In association with Hansa Cequity
  • 13. Predictive Maintenance of Trucks for a Mining Major In association with Hansa Cequity RESULTS • Alarms categorised into 5 categories, with critical alarms forming only 6% of the alarms as against 24% • 3-5 days of savings on every oil change leading to engine oil savings • Engine replacement costs down by 50% SOLUTION • Used terabytes of truck sensor’s data along with truck’s operations and alarms data • Merged data sources using Big Data, applied machine learning algorithms such as gradient boosted regression and cluster analysis • Used sentiment analysis and word cloud inputs to further refine the models SITUATION • Identify failure risk by predicting engine failure • Change engine oil at the ‘optimum time’ using predictive maintenance • Decrease false alarm rates for operational efficiencies Client Mining major Vertical Mining Geography United States Category Predictive Organisation Absolutdata
  • 14. ANALYTICS IN ENERGY AND UTILITIES Initiatives such as Automated Meter Infrastructure (AMI) and Smart Grid are sometimes likened to bringing the utility industry into the Internet age. Enabling direct communication with metering devices opens up a realm of possibilities for understanding usage patterns that were not even registered. The ability to measure and analyze data about energy distribution and consumption on a more granular basis—in time and in detail—can unlock significant value. • Unbilled consumption identified by following the ‘meter-to-cash’ trail can generate incremental revenue. • Detection of theft and fraud in the grid can reveal lost revenue. • Proactive maintenance of expensive transformers and other such heavy equipment in the grid can save millions of dollars by postponing replacement to the future. • Demand response • Revenue management • Fraud and loss prevention • Energy efficiency • Compliance • Asset maintenance and management • Customer care and management • Forecasting and load management Key areas of analytics applications: In association with Hansa Cequity
  • 15. Prediction of Wind Energy Production In association with Hansa Cequity RESULTS • Forecasted wind energy supply in a power grid for understanding the need of conventional energy as controlled input with 84% and 76% accuracy in cases of short term and medium term prediction respectively. SOLUTION • Regression and time series method to predict wind energy generation in shorter time horizon (<= 8 hrs) • Artificial neural network and ensemble with (ordinary linear regression) to forecast for medium time horizon (>8 and <24 hrs) SITUATION • Challenges in accurate prediction of wind energy generation at a particular point of time due to very stochastic nature of wind energy generation • This prediction is critical to save conventional energy due to 8/12 hour lag in ramp-up/down of conventional plants Client An energy company Vertical Wind Energy Geography Netherlands Category Predictive Organisation A Dutch energy company
  • 16. Demand Forecasting Model In association with Hansa Cequity RESULTS • Flexible and efficient planning and policy making for different customer types • Evaluation of power requirement for particular events /seasons for efficient planning • Reduced load shedding instances leading to increase in customer satisfaction SOLUTION • Parametric modeling based demand prediction by integrating various datasets • Real time monitoring of key parameters through customised dashboards to aid planning/decision making SITUATION • Need for accurate models for forecasting power demand • Huge gaps in load requirement vs the installed power generation capacity Client A State electricity board in India Vertical Power and Utilities Geography India Category Predictive Organisation L&T Technology Services
  • 17. Smart Meter In association with Hansa Cequity RESULTS • Customers have been able to significantly reduce onsite field maintenance. In one case, a firm managed to save about USD 1.6 Mn in just a year and a half. SOLUTION • Deployed EnergyIP a solution to deliver accurate energy and implement data analytics like proactive outage management, revenue protection and customer engagement • Scaled up 50 million meters while reducing business risk and provide flexibility to changing business requirements • Sustained meter read processing of over 400 million intervals per hour, completing processing in under six hours, exceeding the daily handling criteria to scale to 50 million meters SITUATION • Utility firms need to modernise and improve speed of processing sensor data coupled with the ability to solve critical issues, while maximising operational efficiency in order to address business needs Client Electric, Water and Gas Utilities Vertical Energy Geography Global Category Descriptive Organisation Siemens
  • 18. Real-time ETA and Seat Availability in Cluster Buses In association with Hansa Cequity RESULTS • Live ETA Information available for 12K+ daily trips at commuters’ fingertips to make travel easy • Seat occupancy data helps user to know occupancy status • Pooch-O mobile app (Android/IOS) facilitates real- time ETA and seat occupancy status in buses • Improved revenue, enhanced commuter experience SOLUTION • Real time ETA is based on historical data, other buses data on same route, and current bus speed • Linear regression equation build to predict ETA • Seat Availability uses live electronic ticketing machine data and time series forecasting model to predict boarding pattern of commuters SITUATION • Uncertainty of bus arrival timings at bus stops • Difficult to find out whether buses on same route taking equal or more time to complete trips • No seat availability information at bus stops for next buses • No user-friendly interface to get arrival time and seat occupancy to plan bus travel efficientlyClient DIMTS Vertical Transport Geography India Category Predictive Organisation DIMTS
  • 19. Platform for Real-time Demand Predictions In association with Hansa Cequity RESULTS • Increased the number of trips per taxi each day by approximately 20.5% since 2014 • Improved zone-wise trip pricing and customer satisfaction by meeting demand real-time • Increased the gross margin by 14% within two quarters by increasing number of trips per taxi SOLUTION • Implemented PRESTO SOPXL—a big data Predictive Analytics platform with separate modules for sales and revenue analytics, demand forecasting and demand planning by incorporating the power of Hadoop based Big Data platform, PMML compliant scoring engine and web-based presentation layer for visualisation and reporting SITUATION • Predict real-time demand for taxis and deploy taxis accordingly Client Government of ME country Vertical Transport Geoography Middle East Category Predictive Organisation StatLabs
  • 20. Self Service IoT Analytics in Power Generation In association with Hansa Cequity RESULTS • Potential savings of millions and at an average of up to $1 mn per asset per annum SOLUTION • Develop analytics algorithms and data models • Blue print source systems, process tags, connectors, infrastructure and configure/customise for meta data mapping and KPIs • Built-in contextual collaboration and recommendations to help users take decisions quickly • 200+ real-time/ETL based connectors with a universal connector framework SITUATION • Predict incipient failures, that, in turn enables, prevent forced outages, thereby resulting in increased productivity, safety and substantial cost savings • An end-to-end cross functional view of power generation value chain by integrating engineering, enterprise, operational and geo-spatial data across 24 power plants Client Leading power generation company Vertical Power Generation & Utilities Geography Asia Category Prescriptive Organisation Rolta
  • 21. In association with Hansa Cequity ANALYTICS IN HEALTHCARE
  • 22. ANALYTICS IN HEALTHCARE Healthcare organisations are increasingly using analytics to consume, unlock and apply new insights from information. New methods of analytics can be used to drive clinical and operational improvements to meet business challenges. From a traditional baseline of transaction monitoring using basic reporting tools, analytics in healthcare is moving towards predictive models, dynamic fraud detection and predictive patient behaviour. Key areas of analytics applications: •Improve clinical quality of care •Improve patient safety and reduce medical errors •Improve wellness, prevention and disease management •Understand physician profiles and clinical performance •Improve customer satisfaction, acquisition and retention •Reduce costs and increase efficiency •Optimise catchment area and network management •Improve pay for performance and accountability •Increase operating speed and adaptability •Increase revenue and ROI •Improve utilisation •Optimise supply chain and human capital management •Improve risk management and regulatory compliance •Reduced fraud and abuse Business goals Specific objectives that can be addressed by analytics Improve clinical effectiveness and member/patient satisfaction Improve operational effectiveness Improve financial and administrative performance In association with Hansa Cequity
  • 23. Stop the Rapid Spread of Infectious Diseases In association with Hansa Cequity • Real-time situational awareness of potential crisis • Early detection can aid in advancing public health • Government/ NGO’s increase operational efficiency and lower costs • Pharmaceutical cos and hospitals can innovate • Combined social media, mobility, analytics and cloud to converge data streams including electronic health records, patient location, public health data, social media and clinical knowledge. • The app helps to understand the current health status, review hourly and daily risk profile based on exposure of participants RESULTS SOLUTION SITUATION • How to predict, prevent, and improve health outcomes resulting from human-to-human spread of diseases on real-time basis? • How to get richer insights into health risks, treatment options, and clinical operations? Client Healthcare Org Vertical Healthcare Geography Global Category Descriptive Organisation HP Analytics
  • 24. Prevent healthcare cost arising from preventable hospitalization In association with Hansa Cequity RESULTS • Reduce hospitalization costs by preventing predicted short-term hospital stays • Make better budgeting decisions by predicting the number of days for long term hospitalization • Improve patient satisfaction by avoiding unnecessary hospitalization SOLUTION • Developed an advanced machine learning algorithm to predict “number of days that each member is expected to spend in hospital in next 12 months” leveraging their past healthcare data • Formed a large number of interaction terms (~1.4 MM) using ~45 attributes SITUATION • Reduce significant annual healthcare cost for US based network of healthcare providers • Healthcare costs caused by “preventable” hospitalization run into billions Client US based healthcare provider Vertical Pharmaceutical Geography United States Category Predictive Organisation EXL Services
  • 25. Patient Sentiment Analysis In association with Hansa Cequity • With real-time scores on patient experience, healthcare organisations can evaluate and optimise new patient engagement strategies • Improved overall patient care value chain including improved patient sentiment and experience levels leading to happier patients and overall a better healthcare system • Used NLP, scoring algorithms, Big Data Analytics to customise an innovative patient experience solution • Used Predictive modeling to map all the data, merge comprehensive healthcare data from internal and external sources, mined 200+ social media sites to tap patient voice RESULTS SOLUTION SITUATION • USA’s largest hospital system was looking at lagging patient experience indicators • Current cycle time of information was 8-12 weeks • The hospital system had no competitive advantage and had no help in maximising their reimbursementsClient Large healthcare provider Vertical Healthcare Geography United States Category Descriptive Organisation Saama
  • 26. In association with Hansa Cequity BANKING ANALYTICS IN
  • 27. Analytic solutions have grown tremendously over the last decade, in terms of their sophistication and the resulting business impact they create. There are a range of analytics solutions that banks are deploying today. While basic reporting continues to be must-haves for banks, advanced predictive and prescriptive analytics are now starting to generate powerful insights. Banking segments with significant use of analytics Consumer behaviour and marketing Risk, fraud and AML/KYC Product and portfolio optimisation • Consumer lifetime value (CLV) • Customer profitability dashboards • Drill-down reporting by customer • Campaign analytics • Detailed asset-level reporting • Portfolio dashboards • Static analysis of portfolio to estimate capital requirements • Collateral analytics • Collections delinquency • Customer segmentation • Channel mix modeling • Conversion and engagement by channel and segment • Silent and proactive chum • Next best offer • Trigger-based cross sell • Bundled pricing • Social media listening and measurement • Simulations to predict default or repayment risk based on lagging and leading indicators • Stress testing and mandated or customised scenarios • Determining regulatory and economic capital based on credit portfolio model • Credit limit management Reportingand descriptiveanalytics Predictiveand prescriptiveanalytics ANALYTICS IN BANKING • Value at Risk (Va) calculation (historical /non-parametric) • Suspicious activity reporting and customer risk scoring • Account validation against watch-lists • Risk alerts at customer/geography/ product level • Value at Risk (Va) calculation (variance-covariance and Monte Carlo simulation) • Behavioural PD, LGD and EAD modeling • Stress testing against multiple macroeconomic scenarios • Pattern recognition and machine learning to predict fraud • Test and review current risk thresholds In association with Hansa Cequity
  • 28. Risk Management In association with Hansa Cequity RESULTS • Overall GNPA has come down by 80% and delinquency rates compared to industry is at 25% • 60% reduction in time to process application and 91% of the application is within TAT SOLUTION • Creation of flexible and scaleable underwriting decision hub • The hub is a culmination of statistical model and information flow from multi-bureau connectors, controlled for credit policies SITUATION • Usage of best-in-class credit risk model for underwriting • Integrate mathematical outcome with local intelligence • Better risk outcome compared to industry risk levels Client Axis Bank Vertical Banking Geography India Category Predictive Organisation Axis Bank
  • 29. ATM Cash Forecasting In association with Hansa Cequity RESULTS • Bringing down the surplus cash level (taken as ratio of EOD balance to daily cash demand) has resulted in an opportunity cost save of 17% SOLUTION • Accurate prediction of daily cash demand at individual ATMs • Optimisation of ATM loading schedule to reduce EOD balances, subject to network level constraints SITUATION • Minimise surplus cash level in ATMs as significant opportunity cost is incurred in keeping idle cash in ATMs Client Citibank Vertical Banking Geography India Category Predictive Organisation Citibank
  • 30. Customer Centricity In association with Hansa Cequity RESULTS • Customers who are analytically recommended and are campaigned to, show 2x – 4x higher conversions SOLUTION • Build propensity scores for estimating the likelihood of buying a product based on historical data of customers of the same profile • Creating logical segments to identify potential baskets of products based on profile and transaction behaviour • Enabling event triggers and structured campaign activity SITUATION • Identify the right customer with the right product and communicate it through the right channel at the right time Client HDFC Bank Vertical Banking Geography India Category Predictive Organisation HDFC Bank
  • 31. Mortgage Survival Model In association with Hansa Cequity RESULTS • Survival model accurately predicted the default and the difference in actual vs predicted was 2% overall • Customer attrition was reduced by 12% within a 12 month timeframe SOLUTION A 12 month probability of survival was generated using: • Univariate analysis of categorical and continuous variables • Stepwise Cox proportional hazard regression was run for all significant variables SITUATION • Mortgage customers who had trouble in repayment due to job loss, recession, illness etc. were offered modification in payment, term and rate • Predict the probability of survival of those customers for the next 12 months Client Leading US Bank Vertical Banking Geography United States Category Predictive Organisation WNS
  • 32. Application Scorecard for MSME Businesses In association with Hansa Cequity RESULTS • Reduced turnaround time by 43% • Decentralised delegation improved bank’s efficiencies in the credit appraisal process by 31% • Risk weight reduction with use of scorecard is 25% SOLUTION • Product developed is an Application Scorecard for MSME customers • A hybrid scorecard with a mix of expert judgemental scorecard and statistical validation was developed SITUATION • Credit appraisal mechanism of subjective decision is a deterrent to grow SME Loans • Bank intended to develop a solution which would aid in objective decision making in credit appraisal of granular MSME customers Client YES Bank Vertical Banking Geography India Category Predictive Organisation YES Bank
  • 33. In association with Hansa Cequity TELECOM ANALYTICS IN
  • 34. ANALYTICS IN TELECOM Network Data Analysis • Proactive network monitoring • Capacity planning • Revenue assurance Subscriber Data Analysis • Subscriber profiling • Social network modeling and analysis • Personalised advertising • Upselling and innovative tariffs  • Churn management Key areas of analytics applications: Telecom analytics encompass sophisticated Business Intelligence (BI) technologies that are packaged to satisfy the complex requirements of telecom organisations. These include increasing sales, reducing churn and fraud, improving risk management and decreasing operational costs. Analytics solutions usually extend beyond the capabilities of regular BI solutions for reporting and dashboarding to include capabilities ranging from ad-hoc querying and multi-dimensional analyses to predictive and descriptive modeling, data mining, text analytics, forecasting and optimisation. The adoption of analytics in telecommunications is intended to improve visibility into core operations, internal processes and market conditions, discern trends and establish forecasts. Future analytics will also include data from systems beyond traditional billing and mediation sources. These will include deep packet inspection, home subscriber server, video optimisation equipment and on-device clients, among others. In association with Hansa Cequity
  • 35. Mobile Money Life Cycle Analysis In association with Hansa Cequity RESULTS • 25% increment in acquisition of mobile money subscribers compared to the last 3 months average • Odds of finding acquisition increased from 1 in 275 to 1 in 79 SOLUTION • Increase in subscriptions achieved through influencer models, acquisition score predictions • Increase in revenues of existing customers attained through behavioural models, win back score predictions, upsell/cross-sell score predictions SITUATION • Increase mobile money subscriptions • Increase revenues from existing customers • Reduce overall mobile money acquisition cost Client Telecom operator in Africa Vertical Telecom Geography Africa Category Predictive Organisation ABIBA
  • 36. Integrated Solution for Enhanced Network Experience Management In association with Hansa Cequity RESULTS • Reduced non-productive field work by 2%-8% by right allocations • Improved labour efficiency by 10%–15% by right allocations of trouble tickets • Reduction of transportation costs by 5%–15% by optimal truck rolls methods SOLUTION • 360 degree view of service analytics records • 62 detailed root cause solution hypotheses tested statistically • Forecasting trouble tickets and capacity planning by product type and fault type at operating levels SITUATION • Reactive approach to network maintenance • Improve predictability of trouble tickets by product, by fault type at each operating level • Improved technician productivity • Improve customer satisfaction • Reduction in recurrent trouble ticketsClient Tier 1 converged operator Vertical Telecom Geography Latin America Category Predictive Organisation Accenture
  • 37. INSURANCE ANALYTICS IN In association with Hansa Cequity
  • 38. ANALYTICS IN INSURANCE Insurance companies have long understood the importance of analytics. Today, the shifting competitive landscape and customer demands are pressuring industry players to better personalise their products, services and interactions. Advanced analytics can provide novel solutions to these challenges. Every day, senior executives in the insurance industry must make complex, business-critical decisions that take into account a wide array of performance metrics and market intelligence. Facing rigorous regulation and complex information-rich value chains, insurance companies have an absolute need for detailed, granular knowledge of what is happening in their operations, together with an ability to analyse this information in real-time to investigate specific events, emerging trends and future what-if scenarios. • Customer acquisition - Prospect scoring models can be very successful in improving the efficiency of customer acquisition activities • Customer retention - Predict likelihood of customers churning or lapsing and help monitor portfolio quality over time • Cross-sell/upsell - Target customers with the right cross-sell and upsell offers at the right time • Premium pricing • Insurance fraud detection • Customer lifetime value Key areas of analytics applications: In association with Hansa Cequity
  • 39. Automated System for Fraud Identification In association with Hansa Cequity RESULTS • Huge amount of savings on claim investigation spend SOLUTION • Develop business rules to filter fraudulent claims and behaviours from the predicted model • Detect individual abnormal patterns • Discover associative link analysis to understand known and predicted fraud SITUATION • Identify fraud using an automated system with minimum misclassification rate thereby optimising investigation cost • Build a counter fraud, abuse and waste analytical model using historical claims data Client AXA Business Services Vertical Insurance Geography Global Category Predictive Organisation AXA Entities
  • 40. Prediction of Early Claim Propensity In association with Hansa Cequity RESULTS • Annual savings of Rs.18-20 crores (potential claim payouts) as fraudulent policies are being weeded out even before they are insured • Drastic reduction in actual/expected claims ratio to acceptable levels resulting in increased statutory profits by a few crore rupees SOLUTION Predictive models were built for each sources like Agency, Banca, Third Party Distributors etc. using: • Bi-variate screening and variable reduction • Model build and validation (decision trees, random forest, logistic) SITUATION • Determine predictors of early claim using the information that is available at the time of policy issuance and provide risk scores • Scores will be used to optimise the underwriter’s time bandwidth by providing him the most risky policy for assessment Client Max Life Insurance Vertical Insurance Geography India Category Predictive Organisation Max Life Insurance
  • 41. Improve Insurance Premium Renewal Rate In association with Hansa Cequity RESULTS • 4%-5% month-on-month renewal lift from 72% baseline • 44%-47% effort reduction resulted 27%-30% cost saving • Improved C-SAT score (NPS score improved by 6%) SOLUTION • Predictive risk scoring • Response mining to determine ‘eagerness pulse’ • Modified dialling process and multi-channel campaign approach implementation SITUATION • Improve renewal rate by arresting lapsation • To reduce cost of operation • To enhance customer experience (indirect) Client Top life insurer Vertical Insurance Geography Global Category Predictive Organisation Minacs
  • 42. Customer Engagement In association with Hansa Cequity RESULTS • Increased the revenue generation by 21% • Increased the accuracy of driving score and usage based insurance premiums by 24% • Enhanced applications and services helped in reducing the marketing efforts by 40% SOLUTION • Establish a cloud-based big data infrastructure by integrating data from multiple sources • Perform real-time data quality audit • Develop applications for customer services • Design customer engagement models and solutions SITUATION • Analyse, integrate and utilise unstructured, semi-structured and structured data to generate customer insights and increase customer engagement Client Auto insurance Vertical Insurance Geography Global Category Prescriptive Organisation Axtria
  • 43. In association with Hansa Cequity Predict Pure Premium Amount RESULTS • Identify policy risks which have low frequency and high severity • Product customisation to suit the prospective customers • Reduced time for policy origination • Assist in the policy pricing decision • Potential cost saving of $5 mn yearly SOLUTION • Historic BOP data and loss history data for 10 years was used and a model is develop that predicts the chances of claims (leading to loss) for the policies • The model was then verified against the loss of data for 2014 SITUATION • Real-time pricing—should the pricing be aggressive (low price) or conservative (high price)? • Long turnaround times to underwrite policies • Inability to detect consumer fraudulent behaviour— using information gathered from quote applications Client A P&C insurance company Vertical Insurance Geography United States Category Prescriptive Organisation NIIT Technologies Ltd
  • 44. Insurance Solution for Delhi Earthquake Risk In association with Hansa Cequity RESULTS • Better natural catastrophe risk management in the Delhi region. This solution will shortly be discussed with concerned stakeholders • Enable quick payout by government agencies after a catastrophic event to facilitate fund relief and recovery operation • Better management of Government funds SOLUTION • 'Cat in the Box' triggers payout to the client when the centre of an earthquake of certain magnitude or greater occurs in a predefined box around Delhi • Stochastic simulation to produce a probabilistic earthquake catalogue SITUATION • Traditional insurance products may not work as the government needs resources for all kind of recovery operations after a disaster • Insurance claims settlement can be quite complex and take a long time before funds are available due to lack of adequate resources for recovery operations after a disaster Client Government of India Vertical Insurance Geography India Category Prescriptive Organisation Swiss Re
  • 45. In association with Hansa Cequity AVIATION AND AEROSPACE ANALYTICS IN
  • 46. ANALYTICS IN AVIATION AND AEROSPACE Interestingly, the aviation sector is one of the strong proponents of capturing the data at every touch point starting from the design of aeroplane engines, dynamic data collection on engine performance to voice recording of the cabin crew in the black box. Most of the airlines religiously capture passenger information, booking/reservations transactions, various operational costs, cargo information, flight data, sales data, promotions data, flights routes and flights schedule to name a few. Innovative use of the data combined with analytics can uncover crucial insights needed to manage customer satisfaction, deal with dynamic fuel prices and underutilised capacity. Nowadays, analytics territory is not just limited to airlines but has been spread to airports, aircraft manufacturers, suppliers, governments and others in the global aviation space. • Route optimisation • Dynamic pricing • eReputation • Aircraft maintenance • Real-time health monitoring of aircraft • Operational analytics Key areas of analytics applications: In association with Hansa Cequity
  • 47. Data-driven Forecasting for a Leading ME Airlines In association with Hansa Cequity RESULTS • Better operational decision making, driving efficient revenue budgeting and optimal resource planning • Dynamic forecasting reports to help strategic decisions at different commercial levels SOLUTION • Scientific data-driven forecasting solution with a basket of algorithms • Recommendations engine that selects the ‘best-fit’ statistical model for a given scenario • Auto feed of forecast output to reporting systems • Provided ‘what-if’ scenario planning capabilities SITUATION • Lack of a scientific revenue forecasting process became a bottleneck for driving efficiencies • Multiple factors like fuel costs, seasonal changes, competitive landscape impacted ticket pricing and made it difficult to manage revenue forecasting with reasonable amount of accuracy Client A leading ME airlines Vertical Aviation Geography Middle East Category Predictive Organisation TCG Digital Solutions Pvt. Ltd.
  • 48. Analytics Solution for a Leading Aircraft Engine Supplier Firm In association with Hansa Cequity RESULTS • 82% reduction in stock outs and 26% reduction in inventory costs • Over $200 mn savings for the client in 3 years SOLUTION • Engine data was consolidated with engine service data to develop failure forecasting based on time-to-failure models • New engine retirement logic to prevent failures during flight operations and service scheduling logic to optimise service costs • Smarter algorithms, cutting-edge tools and analytical models enabled the client to increase contract profitability and to calculate safety stocks SITUATION • Approximately 1 TB of data is generated during flight operations and testing • Need to leverage flight operations and testing data to reduce total cost of operations Client A leading aircraft engine supplier firm Vertical Aerospace Geography Worldwide Category Prescriptive Organisation Genpact
  • 49. RETAIL / CPG / ECOMMERCE / CONSUMER DURABLES ANALYTICS IN In association with Hansa Cequity
  • 50. RETAIL / CPG / ECOMMERCE / CONSUMER DURABLES Analytics have become one of the most powerful tools available to retailers, and are being used for a broad variety of purposes. Aggressive adoption and exploitation of analytics has led to competitive advantage among some of the world’s most successful retailers. The analytical focus of retailers should also be influenced by their economic environments. Loyalty, product selection, and clienteling analytics are typically focused on growing revenues in periods of economic growth. In difficult economic times, however, hard-pressed retailers are more likely to pursue applications such as price optimization, promotion effectiveness, marketing mix allocation, and labor force analytics, each of which can reduce costs and improve profitability relatively quickly and with relatively low investment. Since integration is critical for advanced analytics, most sophisticated retailers have built an enterprise data warehouse for key analytical applications to draw from. • Develop close relationships with customers based on a deep understanding of their behaviors and needs • Deliver the targeted advertising, promotions and product offers to customers that will motivate them to buy • Balance inventory with demand so you’re never out of stock or carrying excess inventory • Charge exactly the price that customers are willing to pay at any moment • Determine the best use of marketing investments • Locate stores, distribution centers, and other facilities in optimal locations Key areas of analytics applications: In association with Hansa Cequity
  • 51. Social Media Analytics A Nasscom and Hansa Cequity initiative RESULTS • Increased reach on social media channels • Social media analytics helped improve message content • Actual assessment of social brand equity in comparison to competitors • Customer engagement improved by 7% and brand image by 4% • Improved customer satisfaction SOLUTION • Structured as a series of analytical sprints with well-defined deliverables—share of voice analysis, influencer analysis, sentiment analysis, product improvement/new product development, consumption drivers, real-time social media monitoring and analysis of events/campaigns SITUATION • The client wanted to leverage social media to—dentify indicators for evaluating brand performance, measure effectiveness of campaigns, identify key influencers across product categories, measure social brand equity and conduct a competitive analysis across social media Client Leading FMCG company in India Vertical CPG Geography Global Category Prescriptive Organisation Capgemini
  • 52. Analytics Driven Personalisation and Recommendation Engine In association with Hansa Cequity RESULTS • 10-12% improvement in conversion for frequently bought strategy • Multi million dollars in incremental revenue from kiosks based on recommender algorithms SOLUTION • Near real time personalisation and product recommendation engine • Multichannel optimisation (kiosks, web, mobile) SITUATION • Client was facing challenges with low understanding of their customer, resulting in poor response in mass marketing and low cross-sell/ upsell ratios, low repeat purchases and diminished customer loyalty Client Leading US apparel retailer Vertical Retail Geography United States Category Predictive Organisation Happiest Minds
  • 53. In association with Hansa Cequity DemandPlanner – Daily SKU Demand Forecasting RESULTS • Forecast accuracy achieved 85% -98% in production period • Inventory cost saving up to 20% • On demand, SaaS model for evry size of retailers SOLUTION • A forecasting engine that creates SKU-Store forecasts for thousand of cases and optimises from a battery of models • The forecast, procurement plans and many sales intelligence reports are made available online in our SaaS platform SITUATION • To optimize inventory and procurement, knowledge of accurate future demand is imperative for retailer • With a huge number of SKUs across hundreds of stores, accurate forecasting had become a mammoth task Client Retail Chains (Pharma,Apparel, Grocery) Vertical Retail Geography India United States Category Predictive Organisation SIBIA Analytics
  • 54. In association with Hansa Cequity Matrimony.com’s Intelligent Matchmaking Algorithm RESULTS • As a result of implementing MIMA, there has been a 28% jump in the customer interactions • The number of profiles viewed by an average user has increased by about close to 53% • 50% increase in entries to ‘Success Stories’ since full implementation SOLUTION • MIMA is an unsupervised machine learning algorithm whose objective is to learn from current set of customer experiences/choices, prepare probable expectation criteria for each member, compare that expectation with available profiles, score the comparisons and present the best matches therein SITUATION • A typical customer spends anywhere between 3-6 months to find his/her perfect match, by sifting through millions of matches available • This limits customer engagement i.e. limited profile views, limited customer communication, more time taken, more searches etc. Client Matrimony.com Vertical eConsumer Geography Worldwide Category Prescriptive Organisation Matrimony.com
  • 55. Market Mix Model In association with Hansa Cequity RESULTS • The models are ‘live’ in select regions currently and are being implemented in other geographies. The results beat the expectation in terms of increase in traffic (~1%), revenue impact (~1.1%) and reduction in marketing budget (0.65%) • Reduced overall time to measure ATL marketing effectiveness by more than 80% • Enabled standardisation of Marketing ROI measurement across business lines and regions SOLUTION • Modeled complex relations using 5 different techniques—multivariate adaptive regression splines, generalised additive models, N-Parameter logistic regression, polynomial functions and power curves • Developed Bayesian Belief Network based approach to model • Developed over 3 million models in less than 2 months and finalised a highly robust ensemble mode SITUATION • Measure ROI and contribution of online and offline channels by quantifying the effect of each of client's 10 channels in influencing the different moments of truth in the shopper journey • Operationalise an accepted and standardised cross media optimisation approach and scale it across markets Client Fortune 500 E-com brand Vertical Retail Geography Worldwide Category Prescriptive Organisation Fractal Analytics
  • 56. Personalising Offerings to Customer Needs In association with Hansa Cequity RESULTS • Realised a 7-9% reduction in out of stocks • Recovered an average 5-7% in lost sales • Achieved a 10-12% reduction in churn SOLUTION Knowledge of customer behaviour was enhanced through: • Advanced customer segmentation • Propensity modeling to understand region and storewise buying patterns • Churn modeling and assortment tuning SITUATION • Improve customer engagement and loyalty through better understanding of customer behaviour and using the customer-centric insights to improve retail execution Client A Leading Retail Group Vertical Retail Geography India Category Prescriptive Organisation Manthan
  • 57. Omni-channel Supply Chain Simulation and Optimisation In association with Hansa Cequity RESULTS • The sand box analysis prescribes appropriate network structures and inventory strategies to meet seasonal requirements • Provides insights to operationalise a network structure that both leverages and caters to the physical and electronic sales channels • Reduces network costs significantly while meeting stringent speed to customer metrics SOLUTION • An open source based sand box for in-vitro analysis contains math programming models for optimal design of the supply chain network and multi-echelon inventory planning • The designs obtained are stress tested through a custom built simulation engine SITUATION • Improving operational effectiveness of omni-channel supply chain operations through high level financial analysis is not sufficient • In-vivo test & learn is also not always possible or financially expedientClient Target Corporation Vertical Retail Geography United States Category Prescriptive Organisation Target Corporation
  • 58. Analytics is playing a critical role for NGOs, for various government departments, for transport facilities and other organisations. It is helping these organisations that have entered the analytics landscape very recently, with data-driven decision making. • Donor profiling • Route optimisation • Citizen profiling Key areas of analytics applications: In association with Hansa Cequity ANALYTICS IN ALL OTHER INDUSTRIES
  • 59. Compensation Modeler In association with Hansa Cequity RESULTS • Determine compensation awards scientifically without bias • Helps clients to adhere to the compensation philosophy of the organisation • Improves efficiency during the compensation review cycle SOLUTION • Optimisation algorithms for deciding optimal hikes while being inline with organisation’s compensation philosophy • Decision support with inline analytics (eg. Budget utilisation, red and green circled employees) SITUATION • ‘Develop a compensation planner to model various what-if scenarios of compensation without having to go outside the Human Capital Management system’ Solution Optimisation algorithms for deciding optimal hikes while being inline with organisation’s compensation philosophy and budget’ Client Multiple clients Vertical Multiple Geography Global Category Prescriptive Organisation ADP
  • 60. Recruitment Analysis In association with Hansa Cequity RESULTS • Improved speed of hiring by 200% • Cut cost of hiring by 50% SOLUTION A custom built product: Recruiter’s Delight was deployed to: • Semantic matching of resumes with a JD • Applying shortlisting context by observing all the screen-rejections done by the hiring manager • Overlaying the shortlisting context with the hiring context by observing historic hiring patterns SITUATION • Difficulty in interpreting the ‘real’ requirements behind a JD. Many needs and requirements are not explicitly stated in the JD • Reduce time wasted in searching for the appropriate resumes Client Global staffing company Vertical Multiple Geography Global Category Predictive Organisation Agora
  • 61. Improve Outcomes of Fund Raising In association with Hansa Cequity RESULTS • Identified opportunities worth $ 50 Mn • Overall donations increased by 7% SOLUTION • Gain a deep dive understanding of donors, their behaviours and characteristics • Data integration from multiple sources like donor transactional data, demographic data 3rd party data • Enabled donor segmentation to understand gift giving potential and donor engagement SITUATION • Multiple non-profits are competing for the same dollars and resources, futhermore economic uncertainty has reduced the overall commitment to giving • Increasingly challenged to do more and to prove the effectiveness of their efforts with limited, less predictable resources • Identify donors with low engagement and higher propensity to lapseClient American NGO Vertical Not for profit Geography Global Category Descriptive Organisation Annik
  • 62. Home Appliances Spare Part Recommender In association with Hansa Cequity RESULTS • Reduction in repair resolution time • Reduction in carrying cost • Optimal stock combinations of spare parts SOLUTION • An automated recommendation system to recommend the right spare part to be carried by the technician for a given customer complaint SITUATION • Time taken by technicians to identify the correct resolution and to repair the problem is very high • Longer repair resolution time affects customer satisfaction level Client An appliances company Vertical Consumer durables Geography Global Category Prescriptive Organisation Robert Bosch
  • 63. Market Mix Models In association with Hansa Cequity RESULTS • Direct media effects contribution is in line with generic marketing mix models • Re-evaluation of cross media effects show a boost of ~11% contribution from new age media SOLUTION • Solution was developed using genetic algorithm and latent variable modeling to ascertain the hidden interaction ‘attribution’ between various media elements and how they in turn affect ‘sales’ SITUATION • Quantify the impact of digital/new age media; taking into effect the interactions with other traditional media and in-store advertising. • Calculate return on marketing investment for new age media. Client Health & beauty care manufacturer Vertical CPG Geography Global Category Prescriptive Organisation Analytic Edge
  • 64. Demand Forecast Accuracy In association with Hansa Cequity RESULTS • Improved forecast accuracy of the demand planning process by 20% • Improved lead-time attainment by 10% • Reduce inventory targets by 15% SOLUTION • Built a demand planning system to calibrate the optimal inventory requirement • Powerful forecast models for ‘Big Deal’ planning and volatile SKUs SITUATION Low accuracy in demand forecasting due to: • High SKU count (40,000) • Volatile demand • Short product lifecycle Client A technology company Vertical Technology Geography Global Category Predictive Organisation Bridgei2i
  • 65. Personal Business Analytics Platform for ‘Reasons to Call’ In association with Hansa Cequity RESULTS • Increased revenue through improved quality and frequency of customer engagement spotting more opportunities through persistent business relevant prompts SOLUTION • Developed a unique machine learning and big data analytics technologies, and a fully personalised consumer-level UX layer, to ensure the user’s experience is both immediately relevant to their business responsibilities • The personalised insights give sales reps a real-time understanding of the customer’s business and the market environment, the customer, and their company SITUATION • Client needed to better understand the intersection of the priorities of these new buyers and the new solution categories they are participating in • Drive ‘insight driven communication’ with customers and prospects Client Technology solutions company Vertical Technology and Consulting Geography Global Category Descriptive Organisation FirstRain
  • 66. Patent Analytics App In association with Hansa Cequity RESULTS • Handle large data corpus and reduce insight generation timelines • Improve decision making with faster turnaround times in report creations and reduce error-prone manual processes SOLUTION • Developed a network-based approach using citation, classifications, inventors, patent owners, patent families, technology linkages to group patents • The exploratory analytics platform enables to both IP specialists and business users to easily explore the data from high to granular levels • Temporal analysis, citation analysis, grant rate and patent life analysis were among the others SITUATION • Understanding patent portfolios and the cluttered nature and quantity of available patent data are big challenges for innovation • The changing technological landscape and patent litigation world, delayed insight generation mechanism may no longer serve a business right Client Multiple Vertical Technology & Consulting Geography Global Category Descriptive Organisation Gramener
  • 67. Big Data Enabled Architecture and Platform In association with Hansa Cequity RESULTS • More than 5,000 vendor agencies are using this platform today seamlessly and successfully • Authentication of user information executed successfully which was a fundamental need SOLUTION • Solution was to built a complex Big Data Architecture with with 150 nodes using MapR distribution and Pentaho’s PDI for data integration and data processing in Hadoop SITUATION • No conceivable storage platform was available to manage 1.3 billion records and 37TB of data per month including unstructured data like biometrics and transactional data from multiple sources • Lack of tool for data agrregation Client Government of a South Asian country Vertical Government Geography India Category Descriptive Organisation GrayMatter
  • 68. Real-time Trade Monitoring for a Leading Stock Exchange of India In association with Hansa Cequity RESULTS • Improved agility for dynamic rule management for alternate analysis scenario • Existing design capable of handling 4X volume growth and further scalable for unlimited growth • Reduced cost of rule management significantly–estimated more than 60% SOLUTION • Developed a platform-based solution that intercepts the trading data from various systems for real-time anomaly at the rate of 0.2 Million TPS per market • GUI based Advanced rule engine–to manage rules dynamically and ease of operation SITUATION • Existing systems had limitations to perform real-time monitoring of extremely high data volumes • Growing volumes and tight monitoring requirements straining already slow legacy systems Client Leading Stock Exchange of India Vertical Stock Exchange Geography India Category Descriptive Organisation Hitachi
  • 69. Fraud Analytics In association with Hansa Cequity RESULTS • Increased control to prevent fraud • Stop infusion of fraudulent money into system • Data driven strategy to target specific profiles of traders more effectively • Higher and more effective utilisation for field task officers • Expedite resolution of appeal and litigation cases which were stuck due to lack of evidence SOLUTION • Developed a proprietary algorithm to detect carousel fraud and put in place a process to score and flag suspicious transactions • Algorithm coded using existing technology stack, thus avoiding the need to purchase specialised software or technology modules for this functionality • Interactive interface that allows investigators to view and process flagged transactions • Current implementation can drill-down on transactions involving up to 6 levels SITUATION • Millions of transactions running into billions of rupees in sales, purchase and revenue • Multiple connections between traders making a very complex network • Many circular transaction between traders, several of these are legitimate. However, few circular trades are part of carousel fraud • No out-of-the-box algorithm available within the existing technology stack to identify this type of fraudClient Government of India Vertical Government Geography India Category Prescriptive Organisation Capgemini
  • 70. Software Licensing Piracy In association with Hansa Cequity RESULTS • Data from the pre-sales for creating target groups converging to customers and then the follow up process in customer lifecycle management (CLM) enabled higher sales volume around 20% increase in revenue for the client SOLUTION • Developed a model by checking discrepancies between inferred usage and actual number of purchases with the help of public information on social media sites, a variety of job portals, and other topic-specific social groups • Statistically estimate number of active users (within the licensee company), number of user licenses, type of usage and gaps in licenses purchased SITUATION • Leakage from software licensing piracy due to lack of methods to physically monitor and identify users, is resulting in reduction of top line Client An MNC Vertical Technology Geography Worldwide Category Prescriptive Organisation Ideal Analytics
  • 71. ANALYTICS IN HOSPITALITY Over the past few years, hotel companies have been investing in reporting and business intelligence technology solutions to improve decision making. More recently, a number of companies have been designing strategic initiatives to move toward a more consistent use of data across the enterprise. But few companies have developed an analytical capability to manage the vast quantity of information available. Every hotelier will have different objectives in how they want to leverage existing data, acquire new data and use it in combination for improved results. But for most hoteliers data remains an underused and underappreciated asset. Hoteliers capture loyalty information, for example, but few go beyond loyalty tiers in how they consistently view and take action with their guests. With analytics, hoteliers can use the data they capture to go beyond their traditional loyalty programs and deepen their knowledge of guests—to develop a more granular understanding of segment behaviour, needs, and expectations; identify profitable customer segments and their buying preferences; and identify opportunities to attract new guests. • Dynamic pricing of room rates • Work force analytics • Operation and supply chain analytics • Customer loyalty • Customer profiling • eReputation Key areas of analytics applications: In association with Hansa Cequity
  • 72. Reducing Customer Churn In association with Hansa Cequity RESULTS • Substantial lift (9% improvement from baseline) in identification of potential churn customers • Deeper understanding of customer issues and patterns leading to better win back rates (improved from 55% to 68%) • Net bad churn reduced by 2% from 10% down to 8% in 3 months of implementing enhanced model SOLUTION • Develop churn prediction model-based on customer demographics, relationship and transactional behaviours • Developed a retention prediction model augmented with variables derived from the unstructured sources, to identify lead indicators of potential customer churn in the next 30 days SITUATION • The client faced a problem of high customer churn rates • Improve win back rates through deeper understanding of customers Client A UK customer Vertical Services Geography UK Category Predictive Organisation Hexaware Technologies
  • 73. Improve RevPAR for a Hotel Chain In association with Hansa Cequity RESULTS • Model demonstrated potential revenue increase of at least 11% YoY which amounts to £ 122,000 per hotel by recommending optimum prices everyday by analysing competitor prices, booking capacity and event impact to maximise overall revenue for any given booking date SOLUTION • Gathered and analysed data around hotel attributes, competition, event so as to model demand • Database was designed with business rules to store the data post cleansing for an efficient ETL • Solution enables revenue maximisation for hotels by recommending optimum stay prices on a daily basis for stay dates during an event SITUATION • Client was not able to capture the right share of demand which was generated by an event around each hotel location due to lack of effective pricing in a highly competitive environment Client A top UK Hotel Chain Vertical Hospitality Geography UK Category Prescriptive Organisation eClerx
  • 74. ANALYTICS IN AGRICULTURE World’s demand for food will grow significantly over the next several decades as a result of population growth and a burgeoning middle class in the developing world. Farmers have traditionally relied on intuition and experience. Yet agriculture is ultimately driven by the mathematics of science; balancing the pH levels of soil, the rate of nitrogen depletion and many other factors for optimum growth of grains and produce. Inputs of seed, fertilizer, water and sunlight, produce an output of crops that must be harvested at the right time using a precise mix of equipment and labor. Protein and dairy industries must also balance a myriad of factors to optimise yields from their livestock. The goal is to use information technology to harness the vast amount of structured and unstructured data now available through field and equipment sensors, and from third-party data sources, to provide fact and math-based decision support to augment traditional farmer intuition and experience. New technologies, such as predictive analytics and commodity price optimisation can also help the agri businesses anticipate and adjust profitably to the marketplace, weather and other conditions that typically leave farmers vulnerable. • Geo-mapping of crop growers • Commodity price optimisation • Crop yield estimation • Field force effectiveness Key areas of analytics applications: In association with Hansa Cequity
  • 75. Predicting Reserve Price for Tea In association with Hansa Cequity RESULTS • Achieved 90% prediction for the top 25% of the varieties • This itself was sufficient to help us Position ourselves as a premium auction vendor for specific brands to the Tea Board SOLUTION • Built a hedonic regression forecasting model based on weekly data for the past 5 years from Guwahati and Siliguri Tea Boards • This was inspired by Ashenfelter’s model for wine prices in France SITUATION • Tea pricing is controlled strongly by ‘Tea Tasters’ whose tongues determine the starting auction price • As a company trying to bring transparency and disintermediate as much as possible by using analytics and technology Client Mjunction Vertical Agriculture Geography India Category Predictive Organisation Mjunction
  • 76. Kg2ton - Crop Production Management System In association with Hansa Cequity RESULTS • Improved operations in land mapping, area sown, input usage, crop health, critical farming practices, yield assessment, quality assessment, harvest and farm-handling, transportation, weather forecast and field force activities SOLUTION • Crop production management system, Kg2Ton, helps enterprises identify growers, capture real-time data from the field and assess the crop yield estimations SITUATION • Crop production activities captured in farms in the form of hard copies are usually impacted by inaccuracies in inputs, data receipt delays and additional re-entries for analysis • Digital data capture using mobile devices can benefit from tagging of location, date and time, data validations during entry and near real-time availability of field data for decision makingClient International agricultural co-op group Vertical Agriculture Geography Worldwide Category Descriptive Organisation iConcept
  • 77. APPENDIX In association with Hansa Cequity
  • 78. In association with Hansa Cequity ABIBA ABIBA Systems is a leading provider of advanced big data analytics. For more information please visit www.abibasystems.com Absolut Data Absolutdata Research and Analytics is a consulting-oriented analytics and research firm. For more information please visit www.absolutdata.com Accenture Accenture plc is a multinational management consulting, technology services and outsourcing company. For more information please visit www.accenture.com ADP ADP is a comprehensive global provider of cloud-based Human Capital Management (HCM) solutions. For more information please visit www.adp.com Agora Agora Analytics makes organisation capability management possible. For more information please visit www.agoranalytics.com Analytic Edge Analytic Edge is a provider of high impact business solutions leveraging advanced analytics and technology. For more information please visit www.analytic-edge.com Annik Annik is a global leader in providing world-class data and analytics solutions that help businesses realise the full potential of their data assets. For more information please visit www.anniksystems.com Axtria Axtria is a Big Data Analytics company which combines industry knowledge, analytics and technology to deliver solutions that help our clients make better data-driven decisions. For more information please visit www.axtria.com Bridgei2i BRIDGEi2i provides Business Analytics Solutions to enterprises globally, enabling them to achieve accelerated business impact harnessing the power of data. For more information please visit www.bridgei2i.com Bosch Robert Bosch Engineering and Business Solutions Private Limited (RBEI), a 100% owned subsidiary of Robert Bosch GmbH, is a technology focused organisation with a strong legacy in engineering and IT services in the manufacturing and automotive industry. For more information please visit www.bosch.com
  • 79. In association with Hansa Cequity Axis Bank Axis Bank is one of the largest, most profitable and fastest growing bank in India. For more information, please visit www.axisbank.com AXA Business Services AXA Business Services is a 100% owned AXA Group Subsidiary. For more information please visit www.axa-bs.com Citibank Citibank is a global bank of financial services multinational Citigroup. Citibank India is a subsidiary of Citigroup focussed primarily on the Indian market. For more information please visit www.online.citibank.co.in Business Brio Big Data and Analytics Consulting/Projects for corporates and social development organisations. For more information please visit www.businessbrio.com Capgemini Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. For more information please visit www.capgemini.com EXL Services EXL Service is a provider (IT) services, decision-analytics, operation management, outsourcing and transformation services company. For more information please visit www.exlservice.com First Rain FirstRain decodes the complex universe of unstructured business information to build robust and highly intuitive analytics that drive smart decisions. Find more at: www.firstrain.com Fractal Analytics Fractal Analytics offers predictive analytics and scoring solutions for financial services, consumer products, retail and telecom sectors. For more information please visit www.fractalanalytics.com DIMTS Delhi Integrated Multi-Modal Transit System Limited is an urban transport and infrastructure development company committed to build and deliver quality infrastructure. For more information please visit www.dimts.in eClerx eClerx provides critical business operations services to more than 30 global Fortune 500 clients, through operational support, data management and analytics solutions. For more information please visit www.eclerx.com
  • 80. In association with Hansa Cequity Happiest Minds Happiest Minds powers digital transformation for enterprises by delivering seamless customer experience, business efficiency and actionable insights. For more information please visit www.happiestminds.com Hexaware Hexaware Technologies Ltd., a global IT services provider, headquartered in Mumbai, specialising in delivering complex technology solutions. For more information please visit www.hexaware.com Hitachi Hitachi is a highly diversified company that operates eleven business segments. For more information please visit www.hitachi.com Ideal Analytics A self-service, real-time, on-demand analytics platform company that provides SaaS based cloud and on-premise solutions. For more information please visit www.ideal-analytics.com HDFC Bank HDFC Bank is one of India's premier banks providing a wide range of financial products and services. For more information please visit www.hdfcbank.com Genpact Genpact is a global leader in transforming and running business processes and operations, including those that are complex and industry-specific. For more information please visit www.genpact.com Gramener Gramener is a data visualisation and analytics product company. For more information please visit www.gramener.com GrayMatter A big data and data science specialist with a strong BI background, GrayMatter has implemented successful BI, Analytics and Big Data projects worldwide. For more information please visit www.graymatter.co.in HP HP Analytics and Data Management services (A&DM) align the right people, processes, and technology to help clients analyse and act on their information, Do visit www.hp.com for more iConcept iConcept is a global technology company that specialises in providing real time customer intelligence solutions. For more information please visit www.conceptglobal.com
  • 81. In association with Hansa Cequity L&T Technology Services The company focuses on the engineering services space, partnering with many of the Fortune 500 companies globally. For more information log on: http://www.lnttechservices. com Manthan Manthan serves as the Chief Analytics Officer to over 170 leading retail and consumer group organisations across 21 countries. For more information please visit www.manthan.com Matrimony.com A signature internet conglomerate, managing marquee brands such as BharatMatrimony.com and CommunityMatrimony.com. For more information please visit www.matrimony.com Mjunction Mjunction services limited is India's largest e-commerce company and the pioneers in e-auction services. For more information please visit www.mjunction.in NIIT NIIT Technologies is a leading IT solutions organisation, servicing customers in the America, Europe, Asia and Australia. For more information please visit www.niit.com Rolta Rolta uses technology to help organisations gain valuable business insights. Their work can be seen across verticals, including Utilities, Transportation, Process, Power, Banking and Insurance. Read more at: www.rolta.com SIBIA SIBIA has built a reputation for expert business analytics outsourcing. For more information about the company please visit sibia.co.in Max Life Insurance Max Life Insurance is a leading life insurance company in India. For more information please visit www.maxlifeinsurance.com Minacs Minacs is a business and technology outsourcing company. For more information please visit www.minacs.com Saama Saama is a pure-play data science solutions company delivering Analytics Advantage to Global 2000 clients. For more information, please visit: www. saama.com
  • 82. In association with Hansa Cequity TCG Digital (SkyTECH) SkyTECH is part of The Chatterjee Group (TCG) – a New York based money management firm with investments across businesses. For more information please visit www.tcg-digital.com StatLabs Stat Decision Labs is a provider for integrated data mining and mobility solutions that helps organisations anticipate business opportunities, empower action and drive impact. For more information please visit www.statanalytics.com Swiss Re Swiss Re Shared Services Private Ltd. in Bangalore is a subsidiary of Swiss Reinsurance Company Ltd., Zurich. For more information please visit www.swissre.com Target Target Corporation is an American retailing company. It is the second-largest discount retailer in the United States. For more information please visit www.target.com WNS WNS is a global business processes outsourcing company providing research and customer analytics, customer care outsourcing and other services. For more information please visit www.wns.com YES Bank YES Bank is a state-of-the-art high quality, customer-centric, service-driven bank. For more information please visit www.yesbank.in Siemens Siemens Smart Grid and Energy takes new approache with innovative products, solutions, and services and global market expertise to meet new challenges. Learn more at: www.siemens.com/smartgrid
  • 83. MohanaKrishnan P, Director, NASSCOM. Mohan leads the strategic Analytics & Business Process initiatives of NASSCOM. In this role, he is responsible for developing the ecosystem, strengthening the enablers and to position India as THE destination choice in the area of Analytics & Business Process. He brings in over 19 years of experience and working with various stakeholders in developing and implementing strategies and initiatives in outsourcing for many large global organisations. Ajay Kelkar, Cofounder & COO, Hansa Cequity. With over 24 years of work experience across brands such as P&G, PepsiCo, Shopper’s Stop and HDFC Bank, Ajay is the Co-promoter & Chief Operating Officer of Hansa Cequity. As the Chief Marketing Officer at HDFC Bank, he led the bank's marketing team on the pioneering path of analytics driven, data-led marketing. The bank executed a unique data-based strategy and this led to huge ROI in cross-sell and upsell. Sampath Rengachari, EVP Marketing, Hansa Cequity. Sampath is a successful strategy, marketing and operations professional with 25 years of experience in handling global markets in IT services. His strengths include stating a long term vision and building an organisation to meet the vision. Sampath has proven entrepreneurial abilities in business models, client management, new service offerings using out-of-the box methods to meet organisational objectives. Nishad Ramachandran, SVP, Digital Experience Group, Hansa Cequity. Nishad has over two decades of experience across traditional advertising, CRM, digital and social media marketing. He believes all advertising is converging around a digital marketing hub. He has worked on award winning campaigns with leading brands like HSBC, Shoppers' Stop, Asian Paints, Unilever and Axis Bank. He was on the jury of the 55th Cannes International Advertising Festival. Sumantra Bhattacharya, Consultant –Analytics, Hansa Cequity. Sumantra is part of the consulting and analytics solutions practices of Hansa Cequity. In this role, he is responsible for engaging organisations in advanced consulting solutions for customer and marketing analytics He brings in 9 + years of experience in areas of descriptive, predictive and prescriptive analytics across insurance, media and retail sectors. Faye Rodrigues, Sr. Strategist, Hansa Cequity. Faye brings in over 6 years of experience in content management and data-driven marketing, across brands in entertainment, fashion, retail, banking and tourism. Prior to Hansa Cequity, Faye has worked with Hill Road Media and has completed a Post-graduate Advertising, Media & Marketing Course from Northpoint Centre of Learning. Shankar Shethe, Management Trainee, Hansa Cequity. A techno-business professional who combines his passion for technology with business understanding to achieve business outcomes. He is featured among the top solvers worldwide on CrowdANALYTIX solver’s community – a crowdsourced platform with over 8,500 experts from 50+ countries. Shankar is an MBA from IIM and holds a bachelor’s degree in Engineering. Rakesh Bhookya, Management Trainee, Hansa Cequity Rakesh is part of the client management practices who is responsible for various campaign management and executions. He helps the client with data driven insights for campaign leads. He is an alumnus of IIM Trichy and holds a bachelor’s degree in computer science engineering AUTHORS

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