Capstone Presentation 11 May 13 TEAM 2 | Anaid Chacón, Nick Kesler, Joe Rose, Chris Woods 1

Business Challenge 2

Proposed Solution: MDM-CDI 3

Use Cases Sales Bids As-Is process: Local databases, manual analysis, disconnected Distributor Portal Customer Management As-Is process: Independent records per location, no integrity checking, silo’ed data Strategic Planning As-Is process: Disconnected systems, batch processes, manual analysis, no data integrity To-Be Process: Centralized database, real-time data, automated analysis, built-in data integrity, distribution of strategy, web interface 4

Cost-Benefit & Success Metrics Capital outlay  $8,942,219 one time Investment  $1,351,008 annual cost Expected return  $70M in new annual revenue 5

Architecture 6

System Integration Enterprise Service Bus (IBM InfoSphere ESB)  Integrating the CKMS with the ESB enables consumption of input/output from services called by the web portal as well as Fusion and WebSphere sales platforms Business Intelligence (IBM SPSS & IBM Unica)  Consume CKMS data, perform analytics which generate target marketing, cross-sell, and up-sell recommendations via dedicated connection GLOCO Identity Management Server  Tivoli access manager server handles authentication (SSI) but CKMS privileges managed internally eliminating need for parallel identity management systems 7

Data Transformation Process 8

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RECOMMENDATIONS 10

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Implementation Overview 14

Timeline 15 Dun & Bradstreet Subscription

Deployment Model MDM HUB HW/SW Config. Database Dun & Bradstreet Service Design DASHBOARD Intranet Access MDM Hub BI TOOLS Access MDM Hub Comment Field LEGACY Config. ESB Development BetaProduction Unit – Integration - UAT 12 SitesRegional 16

Project Risks PROBABILITY SEVERITY Low High Low 17

User Adoption and Communication Plan Business User Adoption Data Stewards and Application Administrators Executives and Business Analysts Business Process Changes Sales team and Distributors Changes taking place in key business processes Commission-based user adoption plan 18

Success Metrics KEY PERFOMANCE INDICATORTARGET User Training Completion95% User Adoption Rolling98% System Availability99% Data Reject Rate<10% Data Freshness98% Data Completeness99% Data De-Duplication/ Hierarchical Correctness>97% Order Diversity ▲ 30% Cost Per Sale ▼ 5% Target / Cross / Up Sale Booked Percentage ▲ 10% Revenue ▲ 1%(~70M) 19

Thank You Questions? 20