V ; } rt» ~ e Le _
K gun — _ — — —
9 h Hove to Enid these 12 confusing ways
‘.
'
*
to presentdata
/
/ .
'l1Hil+i
i"-. m:4IIi‘IIl;
"hr-iil'| I!1— I MI
; ’HlIl"
7": —‘K"{: -lI| l"| |l
Qpawerfu1poi. nt. @¢vu-gr...
/
~
64,‘ to
.2.. . .9‘ / .7?)
Q5 _ fin
Stephanie Evergreen Gavin McMahon
Evergreen Data fassforward Consulting G...
Ultimately, a company's va
j II '3 -1 U1 --C. ul*B': Q1a-r. .¢ ?
is just the sum of the decisons V
I I. ..in J--‘ l- ...
IOIIIOIIO
OOIIIIIIIO
Evidence changes the conversation.
Qfififl
Qpmverfttlpoizit, Qevergreendata, @: 'a. ssfc/ n'a....
The “Trmelord” The “Spaghetti” Chart The “Impossible” Pie
. .“x A
at
The “3D" The "Pointless" The “Lazy Susan”
&
gnu...
The “Timelord"
-tl= Value
2o5 Zolz zoo‘! zoo‘!
Yeae
? pvwe1'fu1point. Oeveryeendata. Elfassfor-vaxrl 9 fassfarwa...
Does time run backward? T
Market Share
80% T
70% V
60% T
50% ~
40% R
30% — a .
20% Someone ‘Faggot that
ti...
Make time run forward ALL
Marketshare
80%
60%
40%
20% “MA can Cli. Cl"- on
"Dates in xzevegzse
ofldegn
in Axis Options...
Can you predict the future? ALL
Market Share
80%
70%
60%
50%—V
40%
30% — W
20% You have no idea that
this is a prl...
Show that you live in the now ALL
Market share
80%
60%
40%
20% t-ieae you can see
= 5 = 5 = ‘ instantly that...
Can you see progress?
Market Share
80%
70% "2012
"2o13
5091, . 2014
4 "2o1s
50% ~—' 4 T 2016
2017
40% R j
30% - C ’...
Show progress clearly
Market share
80% XBIIOX
_____, ." ’Sooloft
6096 I , I ’ ’
j —-—————-_. ... .
40%
—: —— ---- - ...
The “Spaghetti" Chart
flpcmexfulpoint. Qeveryeemfala. Qfassfonvaxd 3 fassfcrwaxd Consulting Group, Evugxeen Data 4*
How is the US doing?
GDP Per Capita Income, US Dollars
$120,000
Auslraha
j/ Iu-_1na
jllzwtm my
Bahrain
j Br’-“ ...
Show what people are interested in
Impact of the global recession on per capita income
GDP Per Capita Income, US Doll...
The “Impossible” Pie
-i% V] 51%
flpcrwerfulpoint. Eieveryeemlala. Qfassfonraxd 3 fassforward Consulting Group, Evergre...
Does this add up? ¥; .}1(x / ~
2014 CXi Score Comparison
Verizon A
Apple
81 %
Macy's
87%
UPS
32% USAA
Source: Forreste...
Use the right form ,0 pg , /n
2014 Glli Score comparison
Amazon 88%
Macy's 87%
USAA 87%
UPS 82%
Apple 81%
Verizon 73%
S...
The “3D"
= ifValo'e -
Qpcrwerfulpoint. Qeveryeemlala. Qfassfonvard @ fassforward Consulting Group, Evergreen Data 4*
What's happening with same day viewing? [A l L
How Watching TV Has Evolved Over the Past 8 Years
Average weekly viewin...
Show trends as clearly as you can
I-low watching TV has evolved over the past 8 years
Average weekly viewing of Showtime...
The “Pointless”
Zoo‘! zolo 2o 2.o2. zolb 2o| l
Yeas
9powerfulpoinL Qeveryeendata. Qfassfcrrward 8 fassforrrrard Con...
What does this mean? I l
LGBT,2012 “‘ “‘ “‘ "“
Share lvlll I’
Source: Worst Chart Ever, Business Insider, Gallup
...
The “lazy Susan”
Assets
cash plus shop; team secupaues
lnventopies
notes Receivable
Pgepatd expenses ...
Arrlnal Snstai ned Advertised Download Arrlual Snstai ned Speed Arrlnal Sustained Advertised llownload Arrll Sustained Spe...
r
U I _ I
-. ...4.. ,.. ... __- VF {-
. ... .~. __ on: in ). h.
. nah. i
. ... ..; .. vr - Inn «.11 Ann-
. .._. . KO r...
The “Harlequin”
= H=Value
gs
: ’ o 3 P1u>dv4ct. 'me
@pcrn'erfulpoint. @eveIyeem2ala. Qfassfonvaxd @ fassforwaxd ...
Who's afraid of pulilie sneaking?
"ll"l| l"'
v--A. -
Biggest Fears, US.
80%
70% -
I Heights
I Public Speaking
60%
I ...
Show your insights
l! l‘lll]lll'mlm‘
America's biggest (and smallest) fears
I Very Afraid I A Little Afraid
Heights 24%...
The “Martha Stewart”
The "Map. tha Stewap. t"
Oiznamental *chav. t3un| c'
9pc‘-«reI'. ‘ulpoint. Qevergreendat...
Please let me go to design school
Device Adoption in the
100%
t we
: :;: a. e “M
60% J T 1
. l J
50% 7*...
Get rid of chart junk
Increasing Device Adoption In The ll. S.
Answering the question, "What Device Do You Own? "
9...
The “Australian” OR “DRAWl(GAB”
bonzep. C-zrzeat éood not bad Worse Terqztble
Scogze
Eipowerfulpoint. Eieveryeemial...
What makes more sense?
Net promoter score
How likely is it you would recommend us to a friend?
Extr 1
— s 7 IIIII ...
The “South Beach" Pie
Zone
High flaotein
South beach
Cabbage Soup
Atkins Caveman
elycemic index
Medttemaanean...
Top Countries for Data Scientists ~
USA
ovum.
Indra
rmm,
lsuwl
Rt. -.s. m Fm}: -Mien
B§r; :|L1r»'...
Top Cities Data Scientists
USA '_
India 1
United Kingdom ‘
Canada ‘
Australia
France
Spain V
Netherlands b
Brazil
Germ...
The “lyin' Y"
Qpowerfulpoint. Qeveryeemfala. Qfassfor. -rard © fassforward Consulting Group, Evergreen Data 4*
Which is truthier?
Calls (DRR)
plotted against change in dose %
7,200
6,800 T 2o= ,>:
6,400 ‘r 4 ‘ 10-3:
/ X
5,000 *...
The “Delicious” Donut
/ III, -<o——- % of people
25% that like
spetnlcles
on donuts
Qpowarfulpoint. Qeve...
1 . rV, -
3-5% l
‘ . . 4.. .
% time spent on Mobile
(iOS and Android Devices)
2% 15%
3%
3% “Gaming
: ‘Facebook
4% Socia...
Playing Games with Mobile Devices
% time spent an Mob/76', I/ '05‘ a/ m',4m/ raid Dev/ bes)
Percent of our time on
3 2 0...
IUII Iuuluuluullu IIIUIUIIIUUIIUII IIIUIIIUIIUI ulululuulluu Iuuluuluuuuul uluul Iuululuuuuu IIIUI
JIIII IIIOIOIIIOIIOII I...
We believe if you want to change your business,
change the conversation.
People have to see themselves in the picture, ...
of 45

Presenting Data Webinar

Learn how to take information and data and present it visually in a way that connects with your audience. In this presentation, you’ll learn the 12 common mistakes people make in creating charts and graphs, and what you can do differently. Presenting Data is just one part of our four part presentation series. Previously we’ve released Presenting Better. If you missed it, you can access it here - http://slidesha.re/1ilb4ix. Stay tuned for our webinars on Presenting Story and Pitching to Win!
Published on: Mar 4, 2016
Published in: Data & Analytics      Presentations & Public Speaking      
Source: www.slideshare.net


Transcripts - Presenting Data Webinar

  • 1. V ; } rt» ~ e Le _ K gun — _ — — — 9 h Hove to Enid these 12 confusing ways ‘. ' * to presentdata
  • 2. / / . 'l1Hil+i i"-. m:4IIi‘IIl; "hr-iil'| I!1— I MI ; ’HlIl" 7": —‘K"{: -lI| l"| |l Qpawerfu1poi. nt. @¢vu-greendata, Qfassfcrrward 9 fassfarwaxd Cansumng Gwup. Evergreen Data 4*
  • 3. / ~ 64,‘ to .2.. . .9‘ / .7?) Q5 _ fin Stephanie Evergreen Gavin McMahon Evergreen Data fassforward Consulting Group @evergreendata @powen‘u| point stephanieevergreen. com makeapowerfulpointcom 9 fassfcrwaxd Consulting Gmup, Everyeen Data 4* Qpvnrufulpoint. @eveIyeendata. Qfassforwan‘.
  • 4. Ultimately, a company's va j II '3 -1 U1 --C. ul*B': Q1a-r. .¢ ? is just the sum of the decisons V I I. ..in J--‘ l- . .r1 1 .1 A u I’ . t! l it makes and executes. a z . 9?, «El; L. . v" ~ l E‘ -l . E E‘ Bill. ; ; B1enko, Mankins, Rogers, The Decision Driven Organization, HBR, 2010 '- ' T 1, E'. ".". .i. -L-'-7,', "3'al'. .“‘3.'? ?‘X‘v; I T"1_'j. f’_'. ’ _- ‘ _
  • 5. IOIIIOIIO OOIIIIIIIO Evidence changes the conversation. Qfififl Qpmverfttlpoizit, Qevergreendata, @: 'a. ssfc/ n'a. rL‘. 9 : 'a. ss: 'or. 'axd Consulting Group, Evergreen Data -“7
  • 6. The “Trmelord” The “Spaghetti” Chart The “Impossible” Pie . .“x A at The “3D" The "Pointless" The “Lazy Susan” & gnu . . up T. -.. _.. .. Lnukmuvuua-mun . man ‘ Cut I<. I no.1» -:1--I r nun ] we nan: .7155‘ mun-u-do at us: 71:} Q1 3.-. -nu-. ... .-. .-— ‘ a, ..' we ‘ wt 4' Iaogofluun-or . nu _ was 1,»: Au ht-l-not l Ann. -c. -,u¢ man I 9”“ emu _ nun Ac--an" _ ‘ Act T $.05 ‘ ). ¢§ ' E 2-an-r-hm 0 T‘ n ' Ill 9: 5‘: -am. p.. ... ... -2.-u ». - ' mu‘. 5,. ’ The “Harlequin” The “Martha Stewart" The “Australian” rslililjlii! VI-Lulu uuambvuo-Auuadvhufinue The “South Beach” Pie The “Lyin' The “Delicious” Donut . ... . :5. / s2~—/ " °"’ 1“: E2“ : ::: : ’ M an Ihgulnuu °“ 9pavru'fulpm'. nl. m Qfasfunrard 6 fassfarwazd Consulting Grvup. Evergreen Dara 4*
  • 7. The “Timelord" -tl= Value 2o5 Zolz zoo‘! zoo‘! Yeae ? pvwe1'fu1point. Oeveryeendata. Elfassfor-vaxrl 9 fassfarwan‘. Consultin, g Group. Evergreen Data 4*
  • 8. Does time run backward? T Market Share 80% T 70% V 60% T 50% ~ 40% R 30% — a . 20% Someone ‘Faggot that time puns ‘fotlwatld, 10% 03 got how they entelaed 0% 1 1 1 data into excel. 2014 2013 2012 2011 2010 2009 @pcrn'erfulpoint. @eveIyeenz2ata. Qfassfonvaxd 2) fassforward Consulting Group. Evexgxeen Data 4*
  • 9. Make time run forward ALL Marketshare 80% 60% 40% 20% “MA can Cli. Cl"- on "Dates in xzevegzse ofldegn in Axis Options 0% 2009 2010 2011 2012 2013 2014 Qpcrnerfulpoint. Qeveryeemiata. Qfassfonvaxd @ fassfmward Consulting Group. Evexgxeen Data 4*
  • 10. Can you predict the future? ALL Market Share 80% 70% 60% 50%—V 40% 30% — W 20% You have no idea that this is a prlojected 10% numlaerz, without having to think 0% T T T T T 2012 2013 2014 2015 2016 2017 flpcmexfulpoint. Qeveryeemfata. Qfassfonraxd 3 fassfcrwaxd Consulting Group, Evugxeen Data 4*
  • 11. Show that you live in the now ALL Market share 80% 60% 40% 20% t-ieae you can see = 5 = 5 = ‘ instantly that these arze przojected 0% numloeas 2012 2013 2014 2015 2016 2017 flpcrwexfulpoint. Qeveryeemfata. Qfassfonraxd 3 fassforwaxd Consulting Group, Evugxeen Data 4*
  • 12. Can you see progress? Market Share 80% 70% "2012 "2o13 5091, . 2014 4 "2o1s 50% ~—' 4 T 2016 2017 40% R j 30% - C ’ 20% ~ — — e 4 W it's difficult to tell 10% I _ _ _ . what is happening. 0% - Xanox Sooloft N eurodyne Spe cide flpowerfulpoint. Qeveryeemfata. Qfassfonrard 3 fassforward Consulting Group, Evergreen Data 4*
  • 13. Show progress clearly Market share 80% XBIIOX _____, ." ’Sooloft 6096 I , I ’ ’ j —-—————-_. ... . 40% —: —— ---- - - -0- - _ _ _ ’ -T _ ‘ ‘ ‘ ‘ ‘ ‘:0 -- .0 , - I ~ Speclde ’’ ‘ ‘ 20% / ’ ‘ ‘ , v ~~~-“ Herze you can see Neurodyne ‘S haPPeh“‘9 0% 2012 2013 2014 2015 2016 2017 flpcrwexfulpoint. Qeveryeemfala. Qfassforwaxd 3 fassforwaxd Consulting Group, Evugxeen Data 4*
  • 14. The “Spaghetti" Chart flpcmexfulpoint. Qeveryeemfala. Qfassfonvaxd 3 fassfcrwaxd Consulting Group, Evugxeen Data 4*
  • 15. How is the US doing? GDP Per Capita Income, US Dollars $120,000 Auslraha j/ Iu-_1na jllzwtm my Bahrain j Br’-“ urn $100,000 ' ’ #80-gs. .. mud Huzugovma T Brunei Daruifialam -1 Buundv Canada $30,000 Cervra1Afncan R. ~pmI. c —cmna Do-rmwk I /0 T Egypt Arab Rep $60,000 /2 Hm G: -rm: ny / [1 D I — J Greece $40 Hong Kong SAR Chma / ‘ _ _/ ‘______, ' jlndna , :# _7 0’ 0 ‘ Ireland f V I V wad Z ' —-. ;n~ - _/ ~ ' $20,000 : 2 [X . ._j _ Wm —l-(ems —l.1ad. ug at-Cm l.1.alaM $0 2000 2001 2002 2003 200-1 2005 2006 2007 2008 2009 2010 2011 2012 2013 Source: Wor1d Bank Date Qpcmerfulpoint. Eleveryeemlala. Qfassfonvaxd @ fassfmwaxd Consulting Group. Evexgxeen Data 4*
  • 16. Show what people are interested in Impact of the global recession on per capita income GDP Per Capita Income, US Dollars $120,000 $100,000 $80,000 $60,000 _: _1 % . .—‘-’ _____ _. —--‘ ' $40,000 __ __. __— Z ______ __. ... —- ________ _ UK T _—~____ j J 2-» . h ~ 1*‘ >7‘ . s2o, ooo , —-- """ Greece $0 2000 2013 Source: World Bar1kData Qpcrwerftzlpoint. @everyeemlala. Qfassfonvard @ fassforward Consulting Group. Evergreen Data 4*
  • 17. The “Impossible” Pie -i% V] 51% flpcrwerfulpoint. Eieveryeemlala. Qfassfonraxd 3 fassforward Consulting Group, Evergreen Data 4*
  • 18. Does this add up? ¥; .}1(x / ~ 2014 CXi Score Comparison Verizon A Apple 81 % Macy's 87% UPS 32% USAA Source: ForresterData 87% Qpcrwerfulpoint. Qeveryeemlala. Qfassfor. -ra. rd © fassforward Consulting Group, Evergreen Data 4*
  • 19. Use the right form ,0 pg , /n 2014 Glli Score comparison Amazon 88% Macy's 87% USAA 87% UPS 82% Apple 81% Verizon 73% Source: Forrester Dara Qpcrwerfulpoint. Qeveryeemlala. Qfassfor. -ra. rd © fassforward Consulting Group, Evergreen Data 4*
  • 20. The “3D" = ifValo'e - Qpcrwerfulpoint. Qeveryeemlala. Qfassfonvard @ fassforward Consulting Group, Evergreen Data 4*
  • 21. What's happening with same day viewing? [A l L How Watching TV Has Evolved Over the Past 8 Years Average weekly viewing of Showtime TV shows (live vs. time-shifted) 100% 90% 80% 70% 60% On Demand 50% ' Musroa 4096 I 1 i ys 30% WW ‘ “Live 20% W ‘ 1099 ‘ I J-‘VI: I coo ~ g 2006 ' Same Day 1 2°07 zoos ‘0 ‘re , TV 2009 , _, 2010 , ,_ 2011 2012 S 2013 Sou rce: Snovm'rr1e, IVieL<en, Renirak Eipcrwerfulpoint. Eieveryeemfala. Qfassfor. -ra. rd 3 fassforward Consulting Group, Evergreen Data 4*
  • 22. Show trends as clearly as you can I-low watching TV has evolved over the past 8 years Average weekly viewing of Showtime TV shows (live vs. fimeshified) _ 69% Live 53% 45% 32% On Demand Plus 7 Days Same Day 2006 2013 Source: Shawtirne NielserLRer12rak ? po'-verfulpoint. Qeveryeerulata. Dfassforwaxd 9 fassforuard Consultlxig Group, Evergreen Data 4*
  • 23. The “Pointless” Zoo‘! zolo 2o 2.o2. zolb 2o| l Yeas 9powerfulpoinL Qeveryeendata. Qfassfcrrward 8 fassforrrrard Consulting Group, Evergreen Data 4*
  • 24. What does this mean? I l LGBT,2012 “‘ “‘ “‘ "“ Share lvlll I’ Source: Worst Chart Ever, Business Insider, Gallup flpcrwerfulpoint. Eieveryeemlala. Qfassforrrard 9 fassforward Consulting Group, Evergreen Data 4*
  • 25. The “lazy Susan” Assets cash plus shop; team secupaues lnventopies notes Receivable Pgepatd expenses and other. assets Keupag coéfee containeps Liabilities Accounts payable Accountants Shoat term loans Long Team debt-payable within 2- months Eipcrwerfulpoint. Qeveryeemlala. Qfassfonvard D fassforward Consulting Group, Evergreen Data 4*
  • 26. Arrlnal Snstai ned Advertised Download Arrlual Snstai ned Speed Arrlnal Sustained Advertised llownload Arrll Sustained Speed llownl oad Speed (M hps) Speed liar (M ops) Provide Advertised Speed Tia Download Speed (M lips) Speed liar (M ops) Provider Advertised Speed lie! 0.93 1 Verizon (DSL) 93% 14,7 15 Charter ‘ 93% 0.99 _ 1 Frontier _ 99% 15.11 _ ;1_5_ _ jbiediacom _ AWL i _ 1,5 Windstream _ 78% I 15.51 _ _15_ A £omcasL _ _103%_ 1.2 1,5 Qwest 80% 15.84 20 Insight ‘ 79% 1.27 1.5 ATET 85% 16 20 Qwest ‘ 80% 1.35 1.5 ‘ CenturyI. in. k 90% 16.46 12 ViaSat/ Bsede ‘ 137% 2.5 3 1 ATST 83% 16.46 18 ATET ' 91% l5_1_ 3 Frontier _ 84% 17.05 _ _18_ _ _Cox‘ _ _95%_ 2.53 3 ‘ Wim‘L<. tream 84% 17.75 20 TWC ’ 89% 2.54 3 ‘ Cent‘u. ryLink 85% 17.88 15 Cablevision ‘ 119% 2.55 3 ‘ Verizon (DSL) 85% 19.41 20 Frontier ‘ 97% 2.86 3 1 TWC 95% 20.3 15 Verizon (Fiber) ‘ 135% 3.07 3 Comcast 102% 20.9 22 Cox 9596 3.17 3 ‘ Cox 106% 21.9 24 ATET ’ 91% 4.47 S Qwest 39% 22.88 20 Verizon (Fiber) ’ 114% 4.96 6 ‘ Winfktream 33% 24.63 E Cox ‘ 99% 5.16 7 . Frontier 7436 25.02 75 Frontier V 100% 5.2 6 ATST 37% 25.85 15 Comcast 103% 5.63 7 Qwest 30% I I 23.05 30 TWC 94% 8.61 12 ‘ Wimttream 72% 29.02 25 V Verizon (Fiber) ’ 116% B.76 10 ‘ Centurymnk 86% 29.4 30 ‘ Charter ‘ 98% 8.97 10 Insight 90% 33.43 40 Qwest ‘ 34% 9.48 10 V MC 795% _4o.73 I 35 V Verizon (Fiber) . _117% 10.1 12 Qwest 84% 47.48 50 MC 95% _1o 88_ _12 ‘ I ATST _91% _48.52_ __5o 7 9 Comcast ’ 197% 11.86_ _12, 1 Mediacorn 99% _52.55 7 __5o 7 9 __Cab1evision" ’ 105% 13.36 12 ; Cox 111% 55.28 50 Verizon (Fiber) ‘ 111% 13.93 15” % TWC _93% 77.58 Verizon Fiber 14.32 15 cox 95% Source: FCC, Measuring Broadbam: iArnerica, 2013 Qpcrwerfulpoint. Qeveryeemlala. Qfassfor. -ra. rd 9 fassforward Consulting Group, Evergreen Data 4*
  • 27. r U I _ I -. ...4.. ,.. ... __- VF {- . ... .~. __ on: in ). h. . nah. i . ... ..; .. vr - Inn «.11 Ann- . .._. . KO r. .. . ..- _ . ... -. - 5. . 7 . .. . 1,, » . ... ._. ... u. .. a. .. n_-_ Does your cable provider over promise or over deliver? Average percentage above or below advertised Internet download speed viasav Exede T Verizon (Fiber) ‘ 10% Cox 1 2% Comcast I 1% Charter - Cablevision -2% 1 ATST -5% 2 Windstream ‘ CenturyLink ‘ we 7% j Verizon (DSL) -9% ‘ Frontier j Qwest — Insight ‘ Me‘1ia°°m — Source: FCC, Measuring Broadband America 2013 9povre‘rfu1poi. n!. Gevergreendati. Qfassforlvard 6 fassforvranl Consulting Group. Evergreen Dan -9*
  • 28. The “Harlequin” = H=Value gs : ’ o 3 P1u>dv4ct. 'me @pcrn'erfulpoint. @eveIyeem2ala. Qfassfonvaxd @ fassforwaxd Consulting Group. Evergreen Data 4*
  • 29. Who's afraid of pulilie sneaking? "ll"l| l"' v--A. - Biggest Fears, US. 80% 70% - I Heights I Public Speaking 60% I Snakes I Being Enclosed In Small Spaces 50% ‘ I Spiders I Flying On An Airplane 40% A , I Needles And Getting Shots I Crowds 30% I Darkness I Dogs 20% V 7 7 V N “V V” V I8|ood I Clowns 10% W | i 4 A ’ ‘Mice 0% lull I I I I Very Afraid A Little Afraid Not Really Afraid Not Afraid At All Source: YouGov Survey March 21-24 2014, 1000American Adults 9pavre‘rfu1pm'. n!. Sever-greendati. Qffisfurlvard 6 fassforward Consulting Group. Evergreen Dana 4*
  • 30. Show your insights l! l‘lll]lll'mlm‘ America's biggest (and smallest) fears I Very Afraid I A Little Afraid Heights 24% 33% Publlc Speaking 20% 36% Spiders 19% 29% N Being Enclosed In Small Spaces 15% Flying On An Airplane 14% 4% Mice 11% 19% Needles And Getting Shots 9% 20% Crowds 5% 19% Darkness 1 % 20% Blood - °. . 16% | Dogs 3% 14% Clowns 5% 8% Source: YouGovSurvey March 21-24 2014. 1000AmericanAduIts 9pawerfulpoinL Qeveryeendata. Qfassfcrrward 8 fassfarwaxd Consulting Group. Evergreen Data 4*
  • 31. The “Martha Stewart” The "Map. tha Stewap. t" Oiznamental *chav. t3un| c' 9pc‘-«reI'. ‘ulpoint. Qevergreendata. Qfassforwaxd 9 fassfunrard Consulting Group. Evergxeen Data 4*
  • 32. Please let me go to design school Device Adoption in the 100% t we : :;: a. e “M 60% J T 1 . l J 50% 7* T 40% 30% - Cellphone - -Smartplrone - -Desktop Computer —— Laptop Computer —-—eBook Reader -'—Tablet Com ter Percentage of respondants 20% 10% Qpcmerfulpoint. Qeveryeenzfala. Qfassfor. -raid © fassforward Consulting Group. Evugxeen Data 4*
  • 33. Get rid of chart junk Increasing Device Adoption In The ll. S. Answering the question, "What Device Do You Own? " 91?»: Cellphone Desktop Computer '06 May '10 Ma; '11 '13 Soume: Pewflesearch Qpovlufulpcint. Sever-greendala. Qfassforward 6 fassforwaxd Cansulung Group. Everyeen Data 4*
  • 34. The “Australian” OR “DRAWl(GAB” bonzep. C-zrzeat éood not bad Worse Terqztble Scogze Eipowerfulpoint. Eieveryeemiala. E>fassfor. ~ra. rd @ fassforward Consulting Group, Evergreen Data 4*
  • 35. What makes more sense? Net promoter score How likely is it you would recommend us to a friend? Extr 1 — s 7 IIIII T ‘ Which orzclep. makes the most sense? Net promoter score How likely is it you would recommend us to a friend? Not all at I-: _xI: remely likely 8 2 j ? powerfulpoinL Qevergeendata. Qfassforrlard 3 fassforward Consulting Group, Evergreen Data 4*
  • 36. The “South Beach" Pie Zone High flaotein South beach Cabbage Soup Atkins Caveman elycemic index Medttemaanean fat Flush Weight Watcheas °l"“5“ ? pawer. ‘ulpoint. Qevergreendata. §>fass. ‘or. -rard 9 fassfonward Consulting Group. Evergreen Data 4*
  • 37. Top Countries for Data Scientists ~ USA ovum. Indra rmm, lsuwl Rt. -.s. m Fm}: -Mien B§r; :|L1r»'_-‘rlnnll an szmn Am .1 Cu rru um, soy. -:n~. -.—. Govm. rw L)-n| .~1 K nqnrvn r r-tsinfli C. .Ml. . Spmfi “" " " " Source: Data Science Central, 2014 Awe--'-» "W-~ épowarfulpoint. Qevaryeendata. Qfassforward 9 fassforward Consulu'ng Group, Evaryeen Data 4*
  • 38. Top Cities Data Scientists USA '_ India 1 United Kingdom ‘ Canada ‘ Australia France Spain V Netherlands b Brazil Germany Singapore Italy > China g South Alrica : Ireland Belgium Switzerland Russian Federation C Israel M Turkey ' 1 O0 1 000 1 0000 log (Number of members) Source: Data Science Central, 2014 flpowerfulpoint. Elevaryeemlala. Qfassforrrard 9 fassforward Consulting Group, Evergreen Data 4*
  • 39. The “lyin' Y" Qpowerfulpoint. Qeveryeemfala. Qfassfor. -rard © fassforward Consulting Group, Evergreen Data 4*
  • 40. Which is truthier? Calls (DRR) plotted against change in dose % 7,200 6,800 T 2o= ,>: 6,400 ‘r 4 ‘ 10-3: / X 5,000 *7 o= .>; . 5,600 A A A i Aloe»: Calls (DRR) plotted against close % 7,200 352,; 6,800 ‘ 33 6.400 A l / = 6,000 28%; 5,600 252»: flpcrwerfulpoint. Qevergreemiala. Qfassfor. -rard Calls (DRR) plotted against change in close % 8.000 LL 6,000 if ‘ 4,000 / 1 2,000 Calls (DRR) plotted against close % 8,000 6,000 4,000 2,000 3 fassforward Consulting Group, Evergreen Data 20% 10 ENE —l05>: l 40 Eli 2 095 10 5'3 0 St 4% PRESENTDATA
  • 41. The “Delicious” Donut / III, -<o——- % of people 25% that like spetnlcles on donuts Qpowarfulpoint. Qeveryeauclata. Qfassforward Q fassforwarcl Consu1u'ng Group, Evaryeen Data 4*
  • 42. 1 . rV, - 3-5% l ‘ . . 4.. . % time spent on Mobile (iOS and Android Devices) 2% 15% 3% 3% “Gaming : ‘Facebook 4% Social Messaging (other) : ‘Utilities ' Apple Safari Google Browsers 5% ' Productivity ' Youtube 4% 32% 4% 7% Entertainment (other) ' Other Apps News 17% Other Browsers 95% Twitter 8% Source: Fluny Analytics, comscore, NetMarketShare Qponrufulpoint. Eieveryeenclata. Sfassforward 9 fassforward Consulting Group, Evaryeen Data 4*
  • 43. Playing Games with Mobile Devices % time spent an Mob/76', I/ '05‘ a/ m',4m/ raid Dev/ bes) Percent of our time on 3 2 0! mobile devices is O spent playing games Source: Flurry Analyrrcs, comscore, Nerlwarkershare @pcrn'erfulpoim. @eveIyeenz2ala. Qfassfonvard @ fassfmwaxd Consulting Group. Evexgxeen Data 4*
  • 44. IUII Iuuluuluullu IIIUIUIIIUUIIUII IIIUIIIUIIUI ulululuulluu Iuuluuluuuuul uluul Iuululuuuuu IIIUI JIIII IIIOIOIIIOIIOII IIIOIOIIIOOOIIOII IIIOIOIIIOOIIII IIIOIOIIIOIIOIOII IIIOIOIIIOOIIII IIIOIOIIIOIIOOIIIOIN ION IIIOIOIIIOOIIII IIIOIOIIIOOIIOII IIIOIIIOIIOI IIIOIOIIIOIIOII IIIOIOIIIOOOIIOI IIIOOI IIIOIOIIIOIIOII IIIOI DOIIII IIIOIOIIIOIIOII IIIOIOIIIOOIIII IIIOIOHIOIIOII IIIOIIIOIIOI IIIOIOIIIOIIOII IIIOIOIIIOOOIIOI IIIOIOIIIOI DIIOII IIIOIOIHOOIIII IIIOIOIIIOIIOII IIIOIOIIIOOOIIOI IIIOIOIIIOIIOOOIIOI IIIOIOIIIOIIIIOIOIIIOOIIll IIIOOI ION IIIOIOIIIOOIIII IIIOIOIIIOOIIOII IIIOIIIOIIOI IIIOIOIIIOIIOII IIIOIOIIIOOOIIOI IIIOOI IIIOIOIIIOIIOII IIIOI Jllll IIIOIOIIIOIIOII IIIOIOIIIOOOIIOII IIIOIOIIIOOIIII IIIOIOIIIOIIOIOII IIIOIOIIIOOIIII IIIOIOIIIOIIOOIIIOIM DOIIII IIIOIOIIIOIIOII IIIOIOIIIOOIIII IIIOIOIIIOIIOII IIIOIIIOIIOI IIIOIOIIIOIIOII IIIOIOIIIOOOIIOI IDIOIOIIIOI DIIOII IIIOIOIIIOOIIII IIIOIOIIIOIIOII IIIOIOIIIOOOIIOI IIIOIOIIIOIIOOOIIOI IIIOIOIIIOIIIIOIOIIIOOIIII IIIOOI IOII IIIOIOIIIOOIIII IIIOIOIIIOOIIOII IIIOIIIOIIOI IIIOIOIIIOIIOII IIIOIOIIIOOOIIOI IIIOOI IIIOIOIIIOIIOII IIIOI Dllll IIIOIOIIIOIIOII IIIOIOIIIOOOIIOII IIIOIONIOOIIII IIIOIOIIIOIIOIOII IIIOIOIIIOOIIII IIIOIOIIIOIIOOIIIOIIG ION IIIOIOIIIOOIIII IIIOIOIIIOOIIOII IIIOIIIOIIOI IIIOIOIIIOIIOII IIIOIOIIIOOOIIOI IIIOOI IIIOIOIIIOIIOII IIIOI Dllll IIIOIOIIIOIIOII IIIOIOIIIOOOIIOII IIIOIOIIIOOIIII IIIOIOIIIOIIOIOII IIIOIOIIIOOIIII IIIOIOIIIOIIOOIIIOIIG DOIIII IIIOIOIIIOIIOII IIIOIOIIIOOIIII IIIOIOHIOIIOII IIIOIIIOIIOI IIIOIOIIIOIIOII IIIOIOIIIOOOIIOI IIIOIOIIIOI IOIIIIIOIOIIIOOIIIIIIIOIOIIIOOIIOII| |lOl| |QflL‘Lm_O. lQI1|OllOllIIIOIOIIIOOOIIOIIIIOOIIIIOIOIIIOIIOIIIIIOI JllllIIIOIOIIIOIIOIIIIIOIOIIIOOOIIO" / ’.’/ ":'”””'##“": ::L‘. ;~! .Q| lO| OllIIIOIOIIIOOIIIIIIIOIOIIIOIIOOIIIOIIG DOIIIIIIIOIOIIIOIIOIIIIIOIOIIIOOI “‘: :~: !.)IOllIOllOllIIIOIOIIIOOOIIOIIIIOIOIIIOI IOII IIIOIOIIIOOIIII '"°| Ol"°Of'{-: ’,: (/ ‘73;§{llOOOIIOl IIIOOI IIIOIOIIIOIIOII IIIOI Jllll IIIOIOIIIOIIOII | l|O| O|l| Oyx; / ‘_llO| Oll| OOlIl| IIIOIOIIIOIIOOIIIOIIC IOII IIIOIOIIIOOIIII IIIOIOIIIK/ V , :~§OO| lOl IIIOOI IIIOIOIIIOIIOII IIIOI JllllIIIOIOIIIOIIOII| llO| Ol[x}»" ‘”~. “<i)| OllIOOlIllIIIOIOIIIOIIOOIIIOIIG DOIIII IIIOIOIIIOIIOII | llO| .»'* *~. lOll IIIOIOIIIOOOIIOI IIIOIOIIIOI IONIIIOIOIIIOOIIIIIIIOIO / iouolmooumouomououmon nounmouomouomuo ‘ iomuonomooououmonomon IOIIIIIOIOIIIOOIIIIIIIOI DIIOIIIIOOIIIIOIOIIIOIIOIIIIIOI mumocomouomuonoik / omoolmmouomouoomom aolmmonomououunion; -v. .,, 3,; oumonomooououmonomon anoumonomoouumow" / ,,» IIOIOIIIOIIIIOIOIIIOOIIllIllool IONIIIOIOIIIOOIIIIIIIOIOIIIO. ‘ ~; §,«; /‘” JOIIOIIIIOOIIIIOIOIIIOIIOIIIIIOI DIIOIIIIIOIOIHOOIIII| llO| Ol| ls: *«‘ » 1|IIIOIOIIIOIIIIOIOIIIOOIIllINOOI Iou IIIOIOIIIOOIIII IIIoIoIIIooIu‘1::3 Waooilol moon mouomouou IIIOI JllllIIIOIOIIIOIIOIIIllOIOlllOOOllo“-‘“-a%__ ‘~‘-: :R ‘tiysplovllooluulmolomouoomom Ionmolomoomlmououloououmu. *--——-= =*"‘_J~r; fiuu. ~v~, _ HKOIIOIIIIOOIIIIOIOIIIOIIOIIIIIOI V‘ '- V JllllIIIOIOIIIOIIOIIIIIOIOIIIOOOIIOIIIIIOIOIIIOOIIIIIIIOIOII| OllOlO‘I’R; :‘. .§f7QllIOOIIIIIIIOIOIIIOIIOOIIIOIIC DOIIIIIIIOIOIIIOIIOIIIIIOIOIIIOOIIIIIIIOIOIIIOIIOIIIIIOIIIOIIOIlllOlOll| G‘: xuuonomooouolmonomon IOIIIIIOIOIIIOOIIIIIIIOIOIIIOOIIOIIIIIOIIIOIIOIIIIOIOIIIOIIOIIIIIOIOIIIOOOTJJIIIIOOIIIIOIOIIIOIIOIIIIIOI mumonomououmouomooououmonomoolmmouomouououmouomoolmmonomouoomom DOIIIIIIIOIOIIIOIIOIIIIIOIOIIIOOIIIIIIIOIOIIIOIIOIIIIIOIIIOIIOIIIIOIOIIIOIIOIIIIIOIOIIIOOOIIOIIIIOIOIIIOI IOIIIIIOIOIIIOOIIIIIIIOIOIIIOOIIOIIIIIOIIIOIIOIIIIOIOIIIOIIOIIIIIOIOIIIOOOIIOIIIIOOIIIIOIOIIIOIIOIIIIIOI mumouomououmoiomooououmouomoonumouomouoioumouomoomlmouomouoomom IOIIIIIOIOIIIOOIIIIIIIOIOIIIOOIIOIIIHOIIIOIIOIIIIOIOIIIOIIOIIIIIOIOIIIOOOIIOIIIIOOIIIIOIOIIIOIIOIIIIIOI mumouomououmolomooououmonomooumIuouomouououmouomoomlmonomouoomouc aomnuonomououmonomoonumonomououmomouonmouomououmonomooouonmonomon Ionmonomoomlmonomoououmomon_uonmoI9_u_| ogIouugouomooqupumoonmpnomououmou . ..n. u.. nn. n.a. nA. nnA; .nn. nn. n-. -.n. _.n--n. .n-. _.n ---. n- - - -. n.-. ---. n_n. . - -. n.-. .-. - --. .- -. ... .-. - -.
  • 45. We believe if you want to change your business, change the conversation. People have to see themselves in the picture, and be in the conversation with you. Let’s keep the conversation going. @evergreendata @powerfulpoint @fassforward stephanieevergreen. com makeapowerfu1point. com fassforward. com For more on Message + Design contact Maria Zorzos, our Chief Growth Officer: maria@fassforward. com 914-738-7200

Related Documents