esimoudis@tridentcap.com	
  
blog.tridentcap.com	
  
@esimoudis	
  

Investing in High Impact
Big Data Solutions
Evangelos...
My Journey through the Data World

’80s

’00s

’90s

’10s

2
Big Data is a Big Deal

Log files

Text
Weather,
GPS

By creating actionable insights from big data we can
solve many impo...
While industries differ in their ability to obtain value
from big data …

4
… important Big Data Applications can be
developed in many of them
§  Healthcare: Outcomes analysis, cost containment
§ ...
10 Steps for Working with Big Data
Step 1

•  Defining the problem

Step 2

•  Determine the data to use (private and publ...
Solving Big Data problems involves more that data
scientists

Data

Connector/
Translator
Problem
definition

Insights & A...
While we are falling behind in training enough data
scientists to meet our projected needs …

… we are falling even furthe...
We can ultimately lose the battle with the big data
we are generating and collecting unless we can
better leverage the exp...
We are good at harnessing the basic ingredients

10
Venture investments to date reflect this emphasis
Step 1

•  Defining the problem

Step 2

•  Determine the data to use (p...
New investments must be able to provide better
leverage of Connectors and Data Scientists

Connector/
Translator

Insight ...
For this reason Trident Capital has been investing in
big data scalable, vertical applications that
generate actionable in...
Summary
1.  Big data is a big deal because it can be used to
address many important problems
2.  Current approaches aren’t...
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Investing in High Impact Big Data Solutions

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My keynote presentation on investing in big data application companies. The presentation was made in December at the Brand Innovators conference in NY. (http://www.brandinnovatorsbigdata.com/)

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Investing in High Impact Big Data Solutions

  1. 1. esimoudis@tridentcap.com   blog.tridentcap.com   @esimoudis   Investing in High Impact Big Data Solutions Evangelos  Simoudis,  Ph.D.   Senior  Managing  Director  
  2. 2. My Journey through the Data World ’80s ’00s ’90s ’10s 2
  3. 3. Big Data is a Big Deal Log files Text Weather, GPS By creating actionable insights from big data we can solve many important problems 3
  4. 4. While industries differ in their ability to obtain value from big data … 4
  5. 5. … important Big Data Applications can be developed in many of them §  Healthcare: Outcomes analysis, cost containment §  Pharmaceutical: Customized drug treatments §  Financial Services: Fraud detection §  Transportation and Logistics: Fleet optimization for fuel efficiency §  Travel: Channel management §  Energy: Yield management §  Automotive: Supply chain optimization §  CPG: Real-time consumer understanding §  Retail: Real-time marketing across devices and channels 5
  6. 6. 10 Steps for Working with Big Data Step 1 •  Defining the problem Step 2 •  Determine the data to use (private and public) Step 3 •  Identify the data sources Step 4 •  Integrate the data Step 5 •  Clean the data Step 6 •  Create information-rich data sets Step 7 •  Model/Analyze the data Step 8 •  Experiment/present results Step 9 •  Identify actionable insights Step 10 •  Disseminate the results 6
  7. 7. Solving Big Data problems involves more that data scientists Data Connector/ Translator Problem definition Insights & Actions Business user Problem 70% of work Patterns Data scientist 30% of work 7
  8. 8. While we are falling behind in training enough data scientists to meet our projected needs … … we are falling even further behind in training business people with deep analytic skills 8
  9. 9. We can ultimately lose the battle with the big data we are generating and collecting unless we can better leverage the expertise we are developing 9
  10. 10. We are good at harnessing the basic ingredients 10
  11. 11. Venture investments to date reflect this emphasis Step 1 •  Defining the problem Step 2 •  Determine the data to use (private and public) Step 3 •  Identify the data sources Step 4 •  Integrate the data Step 5 •  Clean the data Step 6 •  Create information-rich data sets Step 7 •  Model/Analyze the data Step 8 •  Experiment/present results Step 9 •  Identify actionable insights Step 10 •  Disseminate the results = amount invested = value derived 11
  12. 12. New investments must be able to provide better leverage of Connectors and Data Scientists Connector/ Translator Insight generation system Data scientist Insights & Actions Business user 20% of work 50% of work 30% of work 12
  13. 13. For this reason Trident Capital has been investing in big data scalable, vertical applications that generate actionable insights §  Healthcare: cost containment §  Transportation and Logistics: Fleet optimization §  Energy: Yield management §  Multi-industry: multi-channel customer lifecycle management Mobile Attract Vertical Capture Analytics Nurture Convert Big Data Retain Advocate 13
  14. 14. Summary 1.  Big data is a big deal because it can be used to address many important problems 2.  Current approaches aren’t scalable and take to long to actionable insights 3.  Venture investments in big data must shift to areas of higher impact and value 4.  Trident Capital has been investing in big data applications that provide faster path to value and high ROI 14

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