test driving big data with a proof of concept
DESCRIPTION
Information Management is facing unprecedented upheaval due to one major force - Big Data. As quantities of information increase, it's possible to save vast amounts of data that in the past would have been discarded. Now, data is the raw material of exciting exercises in predictive analytics - and the results are game-changing for many businesses. Watch this joint webcast from Collaborative Consulting and IDG to learn how to launch a big data proof-of-concept at your organization.TRANSCRIPT
© 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 1999 Founded
Privately held Private
Consistent year-on-year growth Growth rate
62+ million 2012 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+ employees 400+
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
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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
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How to Adapt
How to adapt:
Big Data POC
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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?
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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 Demographics Sentiment and Spend Revenue and Reach
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Global Sentiment Revenue and Reach Spend & Sentiment Customer Haves And or Wants
2009 Per Capita Income
Sentiment
Interactions
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Global Sentiment Revenue and Reach Spend & Sentiment Customer Haves And or Wants
11 2014 Collaborative Consulting
Global Sentiment Revenue and Reach Spend & Sentiment Customer Haves And or Wants
12 2014 Collaborative Consulting
Global Sentiment Revenue and Reach Spend & Sentiment Customer Haves And or Wants
13 2014 Collaborative Consulting
Global Sentiment Revenue and Reach Spend & Sentiment Customer Haves And or Wants
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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
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Thank you!
Follow us!
Chris Jennings Vice President, Information Management [email protected]
Dan Sandler Director, Information Management [email protected] @DataDanSandler
Veronica Wolf Director of Marketing [email protected]