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2012 Redwood Analytics® User Conference

Analysis. Insight. Action.

Dashboards and Adoption Strategies Lessons Learned

Derek Schutz Director of Programs

2012 Redwood Analytics® User Conference

Analysis. Insight. Action.

Panelists

Michael Porter – DLA Piper LLP Director of Business Intelligence

Purvi Sanghvi – Patterson Belknap Webb & Tyler LLP Manager, Financial Business Analysis

Milan Babic – Shepherd Mullen Richter & Hampton LLP Financial Analyst, Business Intelligence and Analytics

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BI 5

Dashboard

Analytics

Reporting

Alerting

Security

Share-

point

Compa

tible

Mobile

Web

Based

Bursting

Enhanc

ed

Ware-

house

• Integrated Analytic, Reporting, Distribution Mechanisms

• Bursting and Subscription Options

• Alerting Capabilities

• Dashboard Customization

• Data Level Security

• Enhanced Warehouse

• Mobile Strategy

Overview of BI5

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Concepts of a Successful Dashboard

• Simple (not overly crowded/complex)

• Data is meaningful and actionable

• Timing of data is relevant

• Data is framed Overview First, Zoom and Filter, Details on Demand

• Supported

• Flexible/Updatable

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Sample Dashboards

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Sample Dashboards

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Sample Dashboards

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Sample Dashboards

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Sample Dashboards

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10

11

12

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15

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Sample Dashboards

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Lessons Learned

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Lessons Learned

• ‘Cool Looking’ is NOT the deciding factor

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Cool is NOT the Deciding Factor

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Lessons Learned

• ‘Cool Looking’ is NOT the deciding factor

• Provide finite options, don’t leave it open-ended

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Too Many Options leads to Confusion

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Lessons Learned

• ‘Cool Looking’ is NOT the deciding factor

• Provide finite options, don’t leave it open-ended

• Have a ‘Decider’ and make sure THEY Decide

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Large Committee’s Lead to Strange Products

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Lessons Learned

• ‘Cool Looking’ is NOT the deciding factor

• Provide finite options, don’t leave it open-ended

• Have a ‘Decider’ and make sure THEY Decide

• It’s a Dashboard, not the entire car manual

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Dashboards are Heads-Up Displays

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They are NOT Going to Answer Every Question

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Lessons Learned

• ‘Cool Looking’ is NOT the deciding factor

• Provide finite options, don’t leave it open-ended

• Have a ‘Decider’ and make sure THEY Decide

• It’s a Dashboard, not the entire car manual

• Your Dashboard will not impress everyone

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100% Approval is NOT Achievable

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Panel Discussion

Michael Porter – DLA Piper LLP

Director of Business Intelligence

Purvi Sanghvi – Patterson Belknap Webb & Tyler LLP

Manager, Financial Business Analysis

Milan Babic – Shepherd Mullen Richter & Hampton LLP

Financial Analyst, Business Intelligence and Analytics

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Overview of Dashboard Process

1. Pre - Planning phase Gather requirements

Focus on DATA NEEDED

Determine Pilot Group(s)

Determine Rollout Plan

2. Planning Phase Whiteboard out ideas

Take Notes

Determine Timeline – Add 2 months

Rethink Rollout Plan

3. Building Phase Build our initial DB

Gather feedback EARLY and often

Be Iterative

Amend Rollout Plan

4. Rollout Phase FOLLOW Rollout Plan

Educate First

Provide Documentation

Start Small

Gather Feedback

5. Phase 2 Start Again

2012 Redwood Analytics® User Conference

Analysis. Insight. Action.

Dashboards & Adoption Strategies Lessons Learned

Derek Schutz Director of Programs