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Opportunities with Data Science

Ashiq Rahman, Ph.D.
Principal Strategy Planner, Fujitsu Network Communications
ashiqur@...
$

Opportunities

Data

Insight

Action & automation

Grab the fortune !
1
$

About me: problem solver with technology
Ph.D, 1999
Quantum Optics

Early Big Data

Architected & built
simulation plat...
$

About me: always learning

3
$

About me: Organize & DJ Tango events

4
$

About me: Host of Tango in Klyde Warren Park

http://www.facebook.com/tangointheparkdallas
5
$

Opportunities

What, why, how?
6
$

Trip to Disneyland!

7
$

Overview

Industry
examples
Demo/Tips

Future

Vision
DSS
Challenges

Fortune!

8
$

Data driven decision making

9
$

Scott Adam‘s take

10
$

Data driven decision making

Data not available on time
Decisions are delayed

Data not available/no access
Decisions a...
$

Relying only on gut feel can backfire!

12
$

Empowerment of decision makers

Data not accessible in an easy manner.

Limited trends/patterns
analysis (‗food for
tho...
$

Today …

or

Report table (pivot)

14
$

Vision – Decision Support System

―The system is not just about displaying reports,
but rather must be a platform for d...
$

Inspiration
Zoom & Layer feature in Google maps

16
$

Decision Support System

17
$

Tips – server look customization

Customization supported by Tableau
http://onlinehelp.tableausoftware.com/current/serv...
$

Tips – server look customization

Unsupported
Hack!

C:Program Files (x86)TableauTableau Server8.0wgserverpublic

Repla...
$

Business stories with data

20
$

Interactive geographical analysis

21
$

Tips – information layering

22
$

Relation & network graphs

Multiple platforms
23
$

Knowledge & wisdom !

‗Where is the wisdom we have lost in knowledge?
Where is the knowledge we have lost in informatio...
$

Visual analytics to wisdom !

Past
Sales

Bookings

Forecast

What is happening
now?

What will happen?

Reports

Insig...
$

DSS: User experiences excitements!
―This is an awesome and valuable tool.‖
- Marketing

―It is extremely easy to naviga...
$

Recommendation from strategy leaders

―You got to make a decision support tool that the frontline users understands.‖
―...
$

Analytics to $:

Lead of analytical team
Internal data
analytics

Increased sales

Andrew Pole

―Between 2002 — when Po...
$

Analytics to $:
How much is a mortgage contract worth? (mid 1990)
Public data

External valuation

Dan Steinberg

Inter...
$

Visualization to ―control of spreadsheets‖

JPMorgan lost more than $6B in 2012 due to
―deficiencies found in the inter...
$

‗Big data, analytics & the path from insights to value‘

―Top performers say Analytics is a key differentiator‖

―Organ...
$

Analytics trumps intuition

Top performing companies use
analytics more than intuition.

A likelihood of 1.0 indicated ...
$

Where analytic work done

Analytics migrate toward more centralized units,
first at the local line of business and then...
$

What it takes: Information visualization

34
$

What it takes: Aesthetics & design

http://www.ideo.com

35
$

What it takes: expertise in many areas
Business, process,
technology

Finance,
accounting

High level analytics
& platf...
$

What it takes: Data science

http://en.wikipedia.org/wiki/Data_science
37
$

Imagine in future …

It‘s not science fiction anymore!

Inspiration movie:
―Minority report (2002)‖

38
$

Science fiction, not anymore !

39
$

2012 Election results prediction

#NateSilverFacts
•

If you liked Chuck Norris facts, you'll love Nate Silver facts!

...
$

Google‘s self-driving car

41
$

Self-driving car: ―Look Ma, no hands!‖

42
$

Self-driving car: pattern recognition & action

Similar technology can be
used in many areas.

43
$

IBM Watson competes Jeopardy & wins!

44
$

IBM Watson as doctor‘s aid

Utilization management decisions
in lung cancer treatment.

90% of nurses in the field who ...
$

IBM‘s Smarter Planet

http://www.youtube.com/watch?v=9wfZH6ZWxmk&
46
$

Disruptive technologies

1. Mobile Internet
2. Automation of knowledge work
3. The internet of things
4. Cloud technolo...
$

#2 in disruptive technologies list

Automation of knowledge work!

$5-7 trillion
Potential economic impact by 2025
48
$

The ‗Internet of Everything‘

http://news.cnet.com/8301-1001_3-57589613-92/whats-the-internet-of-everything-worth-$613-...
$

The ‗Internet of Everything‘

http://www.cisco.com/web/about/ac79/innov/IoE.html
50
$

‗Internet of Everything‘: $14.4T in 10 years

http://www.cisco.com/web/about/ac79/innov/IoE.html
51
$

Big data & big hype!

52
$

Data crunching tool, long long ago

Abacus

53
$

Data crunching tools over time

Abacus

Slide rule

Calc.

Excel

Today: more and rapidly improving tools.
54
$

Rapidly improving field

chart
already outdated!
55
$

Tools: depends on what you do with it

56
$

Right tool for the right job!

57
$

Opportunities, tools & people

Opportunities

Tools

People (talent)

58
$

Shortage of talent
http://fcw.com/Articles/2012/10/29/big-data-skillset-gaps.aspx

http://www.mckinsey.com/insights/bus...
$

Shortage of talent

―By 2018, the US alone could face a shortage of:
140,000 to 190,000 people with deep analytical ski...
$

Low supply, high demand:

Relatively high compensation.
http://www.forbes.com/sites/gilpress/2013/06/03/data-science-ne...
$

New job category

―Bureau of Labor Statistics, which lists salary trends and forecasts job growth for
many different po...
$

Opportunities with data science

ashiqur@gmail.com

ashiqur@gmail.com

@ashiq

linkedin.com/in/ashiq
63
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Opportunities with data science

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Published on

Disrupting technologies like Data Science and Knowledge Automation are projected to have an economic impact of trillions of dollars in the next decade.

This presentation was given at the Dallas Tableau User Group on Oct 29, 2103 and

Published in: Business, Technology, Education
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Opportunities with data science

  1. 1. $ Opportunities with Data Science Ashiq Rahman, Ph.D. Principal Strategy Planner, Fujitsu Network Communications ashiqur@gmail.com Tableau User Group, Dallas. October 29, 2013
  2. 2. $ Opportunities Data Insight Action & automation Grab the fortune ! 1
  3. 3. $ About me: problem solver with technology Ph.D, 1999 Quantum Optics Early Big Data Architected & built simulation platform Startup within big company B.Sc. (4.0 GPA) Math & Physics High school, 1988 2nd rank, nationwide Statistical modeling Wireless systems System engineering Network architecture Strategy Planning Network graphs 100G Business development Data science 2
  4. 4. $ About me: always learning 3
  5. 5. $ About me: Organize & DJ Tango events 4
  6. 6. $ About me: Host of Tango in Klyde Warren Park http://www.facebook.com/tangointheparkdallas 5
  7. 7. $ Opportunities What, why, how? 6
  8. 8. $ Trip to Disneyland! 7
  9. 9. $ Overview Industry examples Demo/Tips Future Vision DSS Challenges Fortune! 8
  10. 10. $ Data driven decision making 9
  11. 11. $ Scott Adam‘s take 10
  12. 12. $ Data driven decision making Data not available on time Decisions are delayed Data not available/no access Decisions are made with assumptions & ‗gut feel‘. 11
  13. 13. $ Relying only on gut feel can backfire! 12
  14. 14. $ Empowerment of decision makers Data not accessible in an easy manner. Limited trends/patterns analysis (‗food for thought‘ for innovation). Innovation Not enough scorecards, KPIs … 13
  15. 15. $ Today … or Report table (pivot) 14
  16. 16. $ Vision – Decision Support System ―The system is not just about displaying reports, but rather must be a platform for decision making in the broadest sense‖ - Ralph Kimball, one of the original architects of Data Warehousing. 15
  17. 17. $ Inspiration Zoom & Layer feature in Google maps 16
  18. 18. $ Decision Support System 17
  19. 19. $ Tips – server look customization Customization supported by Tableau http://onlinehelp.tableausoftware.com/current/server/en-us/help.htm#customize_namelogo.htm 18
  20. 20. $ Tips – server look customization Unsupported Hack! C:Program Files (x86)TableauTableau Server8.0wgserverpublic Replace this (Back it up) With this favicon.ico should be 32x32 pixels Go to: <ServerURL>/favicon.ico Refresh in the browser 19
  21. 21. $ Business stories with data 20
  22. 22. $ Interactive geographical analysis 21
  23. 23. $ Tips – information layering 22
  24. 24. $ Relation & network graphs Multiple platforms 23
  25. 25. $ Knowledge & wisdom ! ‗Where is the wisdom we have lost in knowledge? Where is the knowledge we have lost in information?‘ T.S. Eliot, ―Choruses from The Rock‖ (1934) ―Knowledge is knowing that a tomato is a fruit; wisdom is knowing not to put it in a fruit salad.‖ Brian O'Driscoll (2009) from Miles Kington 24
  26. 26. $ Visual analytics to wisdom ! Past Sales Bookings Forecast What is happening now? What will happen? Reports Insight Future What happened? Data Present Alerts How & why did it happen? What’s the next best action? Prediction What’s the best/worst case? 25
  27. 27. $ DSS: User experiences excitements! ―This is an awesome and valuable tool.‖ - Marketing ―It is extremely easy to navigate.‖ - Accounting ―It is like treasure hunt.‖ - Sales ―Haven‘t seen anything like this in my whole life !‖ - Planning 26
  28. 28. $ Recommendation from strategy leaders ―You got to make a decision support tool that the frontline users understands.‖ ―The moment you make it simple & understandable, then people start using it and you get better decisions.‖ http://www.mckinsey.com/features/advanced_analytics 27
  29. 29. $ Analytics to $: Lead of analytical team Internal data analytics Increased sales Andrew Pole ―Between 2002 — when Pole was hired — and 2010, Target‘s revenues grew from $44 billion to $67 billion.‖ http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all http://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did 28
  30. 30. $ Analytics to $: How much is a mortgage contract worth? (mid 1990) Public data External valuation Dan Steinberg Internal data & analytics Better valuation Hold or Sell ? Additional $600* million in profit during the first year alone! *($800 million today). http://www.linkedin.com/groups/Chase-Banks-Big-Win-Predicting-1005097.S.177355288 29
  31. 31. $ Visualization to ―control of spreadsheets‖ JPMorgan lost more than $6B in 2012 due to ―deficiencies found in the internal control environment, ... and lack of control over spreadsheets ..‖ http://en.wikipedia.org/wiki/JPMorgan_Chase 30
  32. 32. $ ‗Big data, analytics & the path from insights to value‘ ―Top performers say Analytics is a key differentiator‖ ―Organizations expect that the ability to visualize data differently will be the most valuable technique‖ http://sloanreview.mit.edu/article/big-data-analytics-and-the-path-from-insights-to-value/ 31
  33. 33. $ Analytics trumps intuition Top performing companies use analytics more than intuition. A likelihood of 1.0 indicated an equal likelihood that the organizations will use either analytic or intuition. 32
  34. 34. $ Where analytic work done Analytics migrate toward more centralized units, first at the local line of business and then at the enterprise level. 33
  35. 35. $ What it takes: Information visualization 34
  36. 36. $ What it takes: Aesthetics & design http://www.ideo.com 35
  37. 37. $ What it takes: expertise in many areas Business, process, technology Finance, accounting High level analytics & platforms Vision ―Data Science‖ IT Hacking! Develop Design & aesthetics Deliver Information visualization Problem solver Agile, curious Human psychology (story telling, …) 36
  38. 38. $ What it takes: Data science http://en.wikipedia.org/wiki/Data_science 37
  39. 39. $ Imagine in future … It‘s not science fiction anymore! Inspiration movie: ―Minority report (2002)‖ 38
  40. 40. $ Science fiction, not anymore ! 39
  41. 41. $ 2012 Election results prediction #NateSilverFacts • If you liked Chuck Norris facts, you'll love Nate Silver facts! • When Nate Silver asks you "Wanna make a bet?" The correct answer is no. • Nate Silver doesn't "crunch" numbers. Numbers disintegrate in fear before him. • Outliers exist because they're hiding from Nate Silver. 40
  42. 42. $ Google‘s self-driving car 41
  43. 43. $ Self-driving car: ―Look Ma, no hands!‖ 42
  44. 44. $ Self-driving car: pattern recognition & action Similar technology can be used in many areas. 43
  45. 45. $ IBM Watson competes Jeopardy & wins! 44
  46. 46. $ IBM Watson as doctor‘s aid Utilization management decisions in lung cancer treatment. 90% of nurses in the field who use Watson now follow its guidance. 45
  47. 47. $ IBM‘s Smarter Planet http://www.youtube.com/watch?v=9wfZH6ZWxmk& 46
  48. 48. $ Disruptive technologies 1. Mobile Internet 2. Automation of knowledge work 3. The internet of things 4. Cloud technology 5. Advance robotics 6. (near) Autonomous vehicles 7. Next-generation genomics 8. Energy storage 9. 3D printing 10. Advance materials 11. Advanced oil & gas exploration 12. Renewable energy http://www.mckinsey.com/insights/business_technology/disruptive_technologies 47
  49. 49. $ #2 in disruptive technologies list Automation of knowledge work! $5-7 trillion Potential economic impact by 2025 48
  50. 50. $ The ‗Internet of Everything‘ http://news.cnet.com/8301-1001_3-57589613-92/whats-the-internet-of-everything-worth-$613-billion-cisco-reckons 49
  51. 51. $ The ‗Internet of Everything‘ http://www.cisco.com/web/about/ac79/innov/IoE.html 50
  52. 52. $ ‗Internet of Everything‘: $14.4T in 10 years http://www.cisco.com/web/about/ac79/innov/IoE.html 51
  53. 53. $ Big data & big hype! 52
  54. 54. $ Data crunching tool, long long ago Abacus 53
  55. 55. $ Data crunching tools over time Abacus Slide rule Calc. Excel Today: more and rapidly improving tools. 54
  56. 56. $ Rapidly improving field chart already outdated! 55
  57. 57. $ Tools: depends on what you do with it 56
  58. 58. $ Right tool for the right job! 57
  59. 59. $ Opportunities, tools & people Opportunities Tools People (talent) 58
  60. 60. $ Shortage of talent http://fcw.com/Articles/2012/10/29/big-data-skillset-gaps.aspx http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation 59
  61. 61. $ Shortage of talent ―By 2018, the US alone could face a shortage of: 140,000 to 190,000 people with deep analytical skills, 1.5 million managers & analysts with the know-how to use the analysis of big data to make effective decisions.‖ http://www.mckinsey.com/insights/business_technology/big_data_the_next_frontier_for_innovation 60
  62. 62. $ Low supply, high demand: Relatively high compensation. http://www.forbes.com/sites/gilpress/2013/06/03/data-science-news-roundup-becoming-a-profession-at-300hour 61
  63. 63. $ New job category ―Bureau of Labor Statistics, which lists salary trends and forecasts job growth for many different positions, doesn‘t even have a category for data scientists.‖ ! ―Equivalent of few persons in one position‖ http://finance.yahoo.com/blogs/big-data-download/hottest-job-21st-century-bet-151026538.html 62
  64. 64. $ Opportunities with data science ashiqur@gmail.com ashiqur@gmail.com @ashiq linkedin.com/in/ashiq 63

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