Smart
Technologies
Provide Big
Opportunities
NATIONAL ASSOCIATION OF
ELECTRICAL DISTRIBUTORS
What is Big Data Analytics?
It is the ability or need to process data with:
(Pearson 2014)
Volume Velocity Variety Analyti...
VOLUMES of
Opportunity
Sanjay Agarwal, principal of Deloitte Consulting,
says “Supply chain analysis is an untapped
opport...
Why is it called Big Data?
The speed of data generation is increasing.
(University of California 2000)
“Every day, we crea...
VELOCITY
The amount of data you can leverage in real time =
The size of your opportunity
Speedofdataus
e
Big Data is collected
from a VARIETY of
smart sources
Smart Logistics Opportunities
(Libelium)
Smart Roads
Intelligent Highways with
warning messages and diversions
according t...
Big Data and
ANALYTICS
The process of examining and exploring
large amounts and different types of data
to uncover any tre...
Value-Added Services for the
21st
Century Distributor
Product-Service Hybrids
Traditional Products
+Digital Services
Big Data = Big Opportunities
Product-Service Hybrids
(GE 2015)
• Digital services based on Big Data
analytics capabilitie...
Download the full report at
naed.org/research
NATIONAL ASSOCIATION OF
ELECTRICAL DISTRIBUTORS
of 11

Big Data: Smart Technologies Provide Big Opportunities

Big data has garnered big-time buzz as an effective means to optimize business and measure success. This concise report provides an introduction to the elements of big data and how smart technologies are playing a big role in the information game.
Published on: Mar 3, 2016
Published in: Business      
Source: www.slideshare.net


Transcripts - Big Data: Smart Technologies Provide Big Opportunities

  • 1. Smart Technologies Provide Big Opportunities NATIONAL ASSOCIATION OF ELECTRICAL DISTRIBUTORS
  • 2. What is Big Data Analytics? It is the ability or need to process data with: (Pearson 2014) Volume Velocity Variety Analytics  The quantities of data are significant and require unique approaches. The speed of data processed allows it to be used in real time. The types of data vary in time and context, and it is not a fixed data model. Many statistical techniques are used simultaneously to gain insight from data helping businesses make better decisions.
  • 3. VOLUMES of Opportunity Sanjay Agarwal, principal of Deloitte Consulting, says “Supply chain analysis is an untapped opportunity for many organizations that have data at their disposal but lack either the tools or the knowledge to exploit it,” notes Agarwal. “Our experience shows that manufacturing companies can realize a margin improvement of 2 to 4 percent by applying more analysis to the data they already have.”  Big data, properly analyzed, says Agarwal, can help companies to employ parametric pricing, predict commodities volatility, and mediate any issues that arise from merger and acquisition integration. (Vasan 2015)
  • 4. Why is it called Big Data? The speed of data generation is increasing. (University of California 2000) “Every day, we create 2.5 quintillion (2.5 x 1017 ) bytes of data—so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data.” – IBM World annual data in 2000 2 million GB 250 million GB World daily data in 2015
  • 5. VELOCITY The amount of data you can leverage in real time = The size of your opportunity Speedofdataus e
  • 6. Big Data is collected from a VARIETY of smart sources
  • 7. Smart Logistics Opportunities (Libelium) Smart Roads Intelligent Highways with warning messages and diversions according to climate conditions and unexpected events like accidents or traffic jams. Fleet Tracking Control of routes followed to maximize efficiency or to maintain security. Vehicle Auto-diagnosis Information collection to send real time alarms in emergencies or to provide advice to drivers. M2M Applications Machine auto-diagnosis and assets control. Supply Chain Control Monitoring of storage conditions along the supply chain and product tracking for traceability purposes.
  • 8. Big Data and ANALYTICS The process of examining and exploring large amounts and different types of data to uncover any trends or patterns that may help with business decisions and strategies. The analysis of data can reveal important information about operations, trends, and customers.
  • 9. Value-Added Services for the 21st Century Distributor Product-Service Hybrids Traditional Products +Digital Services
  • 10. Big Data = Big Opportunities Product-Service Hybrids (GE 2015) • Digital services based on Big Data analytics capabilities represent an important opportunity. • Some companies are already converting products into product-service hybrids— intelligent physical goods capable of producing data for use in digital services. • These services enable companies to create hybrid business models, combining the benefits of operational efficiency with recurring income streams from digital services.
  • 11. Download the full report at naed.org/research NATIONAL ASSOCIATION OF ELECTRICAL DISTRIBUTORS

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