How Data Discovery fits into The Journey from Data to Dollars™

1. Data Discovery for Big Insights
Jaime Fitzgerald
President, Fitzgerald Analytics
May 17, 2012
Architects of Fact-Based Decisions™

2. Jaime Fitzgerald
Data to Dollars™ specialist. Known for helping
clients of all shapes and sizes get better
results through data, analytics, & technology
Frequent Speaker on “practical
analytics”…reducing the “barrier to benefit”
from data and it’s potential
@jaimefitzgerald
Founder of Fitzgerald Analytics, an advisory
@fitzanalytics firm he built into a team of 25 professionals
specializing in data-driven strategy, business
analytics, and data asset management. Twice
named a “Best Small Consulting Firm to Work
For” by Consulting Magazine.
Data Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 2

3. ROI on Data Assets: More Crucial Than Ever
“Data is the New Oil”
- World Economic Forum Report
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4. Trends in Business Intelligence & Data Discovery
Data discovery fits into three key trends…
Trend Implication
Users need more flexible & efficient tools for rapid-cycle,
1. Agile Analytics
iterative analysis
More data, in a variety of formats, is available and needs to
2. Big Data
be profiled, processed, integrated, and used appropriately
Today’s executives, managers, and analysts expect insights
3. Data Visualization to be delivered visually. Data visualization has gone from
“nice to have” to “expected.”
The remaining slides put these trends into practical context.
Data Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 4

5. From Data to Results: Key Steps
1
Data
2
Analysis
3
Action
4
Results
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6. The Journey to Results: How Data Discovery Fits In
1. Data 2. Analysis 3. Action 4. Results
 New Data  Better Decisions  Revenue Growth
Source Analysis Insight
Acquisition  Better Processes  Margin
Expansion
 Data Discovery  More Customers
 Cost Reduction
 Data  Happier & More
Governance Loyal Customers  Risk
Management
 Data Quality  Opportunity
Discovery
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7. The Cycle of Analysis
1
Data
5 2
New Data
Learnings Analysis
4 3
Results Action
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8. Cycle of Analysis: Customer Analytics
1  Profitability
 Behaviors
Customer  Demographics
Data  Psychographics
 Wants & Needs
 Response to actions 5 2
 Descriptive
 Delta vs. Predictions New Data
Analysis  Predictive
 New insights
 New hypotheses
Learnings  Test & Learn
 Hypotheses
 New data sources
4 3
 Customer Response  Messages
 Financial Impact  Offers
 Predictions vs. Results Action  Products
Actuals  Pricing & Policy
 Surprises  Customer Service
 Input
Data Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 8

9. Key Success Factors
1. “Begin with the End in Mind”
(Goal-Centricity)
2. Agility & Fast Iteration
3. Cross-Functional Collaboration (IT, Data,
Business, Domain Experts)
Data Discovery for Big Insights © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 9