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
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Opportunities with Data Science
Ashiq Rahman, Ph.D.
Principal Strategy Planner, Fujitsu Network Communications
ashiqur@gmail.com
Tableau User Group, Dallas. October 29, 2013
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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
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Data driven decision making
Data not available on time
Decisions are delayed
Data not available/no access
Decisions are made with
assumptions & ‗gut feel‘.
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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 …
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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.
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Tips – server look customization
Customization supported by Tableau
http://onlinehelp.tableausoftware.com/current/server/en-us/help.htm#customize_namelogo.htm
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Tips – server look customization
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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
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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
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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?
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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
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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
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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
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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
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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
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‗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/
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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.
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Where analytic work done
Analytics migrate toward more centralized units,
first at the local line of business and then at the enterprise level.
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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, …)
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What it takes: Data science
http://en.wikipedia.org/wiki/Data_science
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Imagine in future …
It‘s not science fiction anymore!
Inspiration movie:
―Minority report (2002)‖
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2012 Election results prediction
#NateSilverFacts
•
If you liked Chuck Norris facts, you'll love Nate Silver facts!
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When Nate Silver asks you "Wanna make a bet?" The
correct answer is no.
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Nate Silver doesn't "crunch" numbers. Numbers
disintegrate in fear before him.
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Outliers exist because they're hiding from Nate Silver.
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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.
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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
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#2 in disruptive technologies list
Automation of knowledge work!
$5-7 trillion
Potential economic impact by 2025
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The ‗Internet of Everything‘
http://news.cnet.com/8301-1001_3-57589613-92/whats-the-internet-of-everything-worth-$613-billion-cisco-reckons
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The ‗Internet of Everything‘
http://www.cisco.com/web/about/ac79/innov/IoE.html
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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
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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
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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
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Opportunities with data science
ashiqur@gmail.com
ashiqur@gmail.com
@ashiq
linkedin.com/in/ashiq
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