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© 2014 Collaborative Consulting
Financial Services Life Sciences
Business Process
& Program
Management
Software
Solutions
Software
Performance
& Quality
Information
Management
Consulting Services Domestic Solution Center Services
Strategy Execution Support
Test Driving Big Data
with a Proof of Concept
How to Adapt in a Changing Information
Management Landscape
In partnership with:
2
2014 Collaborative Consulting
Collaborative Consulting
Offices Solution centers
Massachusetts (HQ), New Jersey,
New York, Texas, Wisconsin
Massachusetts and
Wisconsin
Our team
Collaborative background
Founded in 1999Founded
Privately heldPrivate
Consistent year-on-year growthGrowth rate
62+ million2012 revenue
Massachusetts (HQ), New Jersey,
New York, Pennsylvania, Texas,
Wisconsin
Offices
Massachusetts and Wisconsin
Solution
centers
Employee based firm: retention of
expertise
Employee
based
400+ employees400+
Senior level resources, over 18
years average experience
Senior level
resources
Employees possess deep domain
expertise gained from industry &
consulting experience
Expertise
3
2014 Collaborative Consulting
Collaborative Consulting Services
Financial Services Life Sciences
Business Process
& Program
Management
Software
Solutions
Software
Performance
& Quality
Information
Management
Consulting Services Domestic Solution Center Services
Strategy Execution Support
4
2014 Collaborative Consulting
Main Stream Information Management Landscape
Enabling Technology
Business Demand
Media Attention
5
2014 Collaborative Consulting
Mainstream IM Learning Curve
1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 2019 2021
MDM
Hadoop et al
NoSQL
Cloud
Sources
Cloud DW Stack
ETL Technology In-Memory
Analytics
Mobile BI
DB
Appliance
Data Science
Industry
Deregulation
& Consolidation
9/11
Social
Networking
iPhone
Financial
Crisis
NSA
Surveillance
State
6
2014 Collaborative Consulting
How to Adapt
How to adapt:
Big Data
POC
7
2014 Collaborative Consulting
Big Data POC: Key Questions
What is a Big Data POC?
What do you mean by
“business centric”?
How is a Big Data POC different
from other PCOs?
Given the maturity of technology
and Big Data skills gap, why should
we invest in a Big Data POC?
Should I be concerned about
finding Big Data know-how?
8
2014 Collaborative Consulting
Big Data POC: Case Study & Demo
Why: Visible Product Launch
What: Social Media, Orders, GL
How: VOC Dashboard
When: 5 weeks
Who: Hard-to-find Skills
Haves/Wants Us/Them Geospatial DemographicsSentiment and SpendRevenue and Reach
9
2014 Collaborative Consulting
Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants
2009 Per Capita Income
Sentiment
Interactions
10
2014 Collaborative Consulting
Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants
11
2014 Collaborative Consulting
Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants
12
2014 Collaborative Consulting
Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants
13
2014 Collaborative Consulting
Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants
14
2014 Collaborative Consulting
Big Data POC: Dos and Don'ts
Do:
• Go above-and-beyond
• See it, feel it
• Keep an “open” mind
• Trust and verify
• Consider the alternatives
• Let the IM and App Worlds collide
• Keep teams small
Don’t:
• Focus solely on new technology
• Expect solutions to existing data
issues
• Use old estimation models
• Confuse a POC for production
• Be a victim of success
15
2014 Collaborative Consulting
Thank you!
Follow us!
Chris Jennings
Vice President, Information Management
cjennings@collaborative.com
Dan Sandler
Director, Information Management
dsandler@collaborative.com
@DataDanSandler
Veronica Wolf
Director of Marketing
vwolf@collaborative.com

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Test Driving Big Data with a Proof of Concept

  • 1. © 2014 Collaborative Consulting Financial Services Life Sciences Business Process & Program Management Software Solutions Software Performance & Quality Information Management Consulting Services Domestic Solution Center Services Strategy Execution Support Test Driving Big Data with a Proof of Concept How to Adapt in a Changing Information Management Landscape In partnership with:
  • 2. 2 2014 Collaborative Consulting Collaborative Consulting Offices Solution centers Massachusetts (HQ), New Jersey, New York, Texas, Wisconsin Massachusetts and Wisconsin Our team Collaborative background Founded in 1999Founded Privately heldPrivate Consistent year-on-year growthGrowth rate 62+ million2012 revenue Massachusetts (HQ), New Jersey, New York, Pennsylvania, Texas, Wisconsin Offices Massachusetts and Wisconsin Solution centers Employee based firm: retention of expertise Employee based 400+ employees400+ Senior level resources, over 18 years average experience Senior level resources Employees possess deep domain expertise gained from industry & consulting experience Expertise
  • 3. 3 2014 Collaborative Consulting Collaborative Consulting Services Financial Services Life Sciences Business Process & Program Management Software Solutions Software Performance & Quality Information Management Consulting Services Domestic Solution Center Services Strategy Execution Support
  • 4. 4 2014 Collaborative Consulting Main Stream Information Management Landscape Enabling Technology Business Demand Media Attention
  • 5. 5 2014 Collaborative Consulting Mainstream IM Learning Curve 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017 2019 2021 MDM Hadoop et al NoSQL Cloud Sources Cloud DW Stack ETL Technology In-Memory Analytics Mobile BI DB Appliance Data Science Industry Deregulation & Consolidation 9/11 Social Networking iPhone Financial Crisis NSA Surveillance State
  • 6. 6 2014 Collaborative Consulting How to Adapt How to adapt: Big Data POC
  • 7. 7 2014 Collaborative Consulting Big Data POC: Key Questions What is a Big Data POC? What do you mean by “business centric”? How is a Big Data POC different from other PCOs? Given the maturity of technology and Big Data skills gap, why should we invest in a Big Data POC? Should I be concerned about finding Big Data know-how?
  • 8. 8 2014 Collaborative Consulting Big Data POC: Case Study & Demo Why: Visible Product Launch What: Social Media, Orders, GL How: VOC Dashboard When: 5 weeks Who: Hard-to-find Skills Haves/Wants Us/Them Geospatial DemographicsSentiment and SpendRevenue and Reach
  • 9. 9 2014 Collaborative Consulting Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants 2009 Per Capita Income Sentiment Interactions
  • 10. 10 2014 Collaborative Consulting Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants
  • 11. 11 2014 Collaborative Consulting Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants
  • 12. 12 2014 Collaborative Consulting Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants
  • 13. 13 2014 Collaborative Consulting Global Sentiment Revenue and Reach Spend & SentimentCustomer Haves And or Wants
  • 14. 14 2014 Collaborative Consulting Big Data POC: Dos and Don'ts Do: • Go above-and-beyond • See it, feel it • Keep an “open” mind • Trust and verify • Consider the alternatives • Let the IM and App Worlds collide • Keep teams small Don’t: • Focus solely on new technology • Expect solutions to existing data issues • Use old estimation models • Confuse a POC for production • Be a victim of success
  • 15. 15 2014 Collaborative Consulting Thank you! Follow us! Chris Jennings Vice President, Information Management cjennings@collaborative.com Dan Sandler Director, Information Management dsandler@collaborative.com @DataDanSandler Veronica Wolf Director of Marketing vwolf@collaborative.com