PLAYBOOK DATA PROCESS EVERGREENING

August 2013

Executive Summary Business Problem:

• Data issues are prevalent across key data processes in the Playbook Application. Reported inaccuracies are preventing the business from efficiently planning their Trade Promotions spend. This ongoing problem has also prevented the business from completely complying with the use of the system.

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Proposed Solution

• Overhaul of the data processes of the application using best practices such as pro-active validation, relational structures and exception handlers. These are currently missing in the data handling processes in Playbook.

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Financial Summary

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Year One Project Costs Five-Year Summary and Payback Internal Labor: $8,000 Five-Year Total Cost: $232,000External Labor $224,000 Five-Year Total Benefit: $1,551,933TOTAL $232,000 Five-Year Net Benefit: $1,319,933

Internal Rate of Return: 253%

FY1 Project Benefits Net Present Value at 10%: $917,542Hard $ Benefits $372,000 Payback in Months: 7.8TOTAL $372,000

Funding by Fiscal YearFY1 $232,000

FY2 $0

Depreciation: $212,280 FY3 $0

Ongoing Costs: $0 TOTAL $232,000

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BenefitsCategory $ Benefit Description

Cost Reduction

•Year 1 Benefit - .12% or $372,000 on Spend Budget reduction• 5 Year Benefit –$1.5M Reduced Spend

• Reliable analytics will drive accurate decisions in cost saving decisions on Trade Spend

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Competitive Analysis• All financial applications should adhere to industry best

practices, such as:– Cross System checks and balancing– Internal and external exception handling– Single version of the truth when processing financial data

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TimelineFY1

M1 M2 M3 M4 M5 M6

Deployment

Porting and User Acceptance Testing

Analysis and Re-Design

Development

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Appendix