The document discusses overcoming obstacles to using data to grow a business. It outlines how data and customer expectations have evolved from centralized mainframe systems to today's complex environment with greater data volume, variety and velocity. Managing data effectively requires assessing your current data ecosystem, prioritizing issues, and addressing both infrastructure and data quality in a segmented approach to deliver incremental benefits. The consulting group recommends companies assess their current strategy, environment and resources to develop a long-term plan for managing data.

1. #CGData
@InspiredbyCG
@Mgoodman10
Overcoming Data Obstacles to
Grow the Business
Michael Goodman
Data & Analytics Practice Lead
September 16, 2014
INSPIRED TO HELP YOU SUCCEED

2. #CGData
“The” Obstacle
Reducing the problem to one word makes it seem overwhelming and unsolvable.
@InspiredbyCG
We don’t trust our reports
We can’t cross-sell
Our data isn’t good
We have too many complaints
Regulators are concerned
Our forecasts are accurate
We know our customers
Our regulators are happy
We capture every opportunity
Data
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3. The Evolution
We All Know
Data “Then” to “Now”
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4. #CGData
“Then”
Before the technology revolution, customers didn’t interact with data, companies
had their own architecture.
Mainframe Data
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5. “Now”
The brick wall is gone, and replaced with a more complex environment.
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@InspiredbyCG
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6. Externally Driven
Challenges
Doing More With More
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7. Customers & Partners
We now live in a connected world and often struggle to keep up.
#CGData
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8. Expectations
All stakeholders have higher expectations and their objectives are not
always aligned.
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@InspiredbyCG
Customers Regulators Investors Partners
“We want more…”
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9. #CGData
Obstacles
All you have to do is get your data in order and your problems will be solved.
Legacy
Infrastructure
& Systems
Accurate
+100 More Quality
Attributes
Volume
Variety Velocity
Consistent
Complete
@InspiredbyCG
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10. Embracing
the Data Revolution
All You Have To Do…To Get Started
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11. A First Step
Breaking down the problem helps avoid the need to boil the ocean.
Data Asset
Ecosystem
Leveraged
Data
Governed
Data
Managed
Data
Lots of
Data
#CGData
@InspiredbyCG
Prescriptive
Analytics
Predictive Analytics
Diagnostic Analytics
Descriptive Analytics
Improved Agility
Improved Control
Enhanced Insight
Reduced “Pain”
Disruptive Capability
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12. Managing the Data
Bringing data under management is a three-part effort.
Business Benefits
Enhanced Analytics
Improved Stakeholder Experience
Leveraged Opportunities
Design the Target State
Address the Infrastructure Issues
Address the Data Issues
Lots of
Data
#CGData
@InspiredbyCG
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13. CG
Recommendations
Next Steps
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14. #CGData
@InspiredbyCG
• Assess your strategy – Establish a long term strategy.
Don’t sacrifice short-term gains for long-term goals.
• Assess your current environment – Understand
the issues.
• Think about the whole, but segment the problem –
divide and prioritize the issues into manageable phases
that will deliver incremental benefits.
• Assess your resources – human, technical & financial.
• If you’ve done all of the above, you are ready to
mobilize and launch.
© 2014 Carlisle & Gallagher Consulting Group. Proprietary and Confidential. INSPIRED TO HELP YOU SUCCEED 14

15. #CGData
@InspiredbyCG
@Mgoodman10
Carlisle & Gallagher Consulting Group
Michael Goodman
Data & Analytics Practice Lead
michael.goodman@cgcginc.com
704.340.4645
212 South Tryon Street
Suite 800
Charlotte, NC 28281
704.936.1600
© 2014 Carlisle & Gallagher Consulting Group. Proprietary and Confidential. INSPIRED TO HELP YOU SUCCEED 15