» Workshop Overview
» Who Should Attend
» Workshop Deliverables
» Workshop Agenda

Workshop Overview

Understand the scope and stages of enterprise data convergence before you invest

Master Data Management and Customer Data Integration (MDM/CDI) are two of the latest buzzwords to hit the business newsstands. Companies are looking for standardized ways—versus custom development—to implement business-driven data integration across all enterprise systems and support multiple lines of business. They seek the ability to dramatically simplify and operationalize data quality, data integration, and data management functions.

Master data is taking center stage in supporting these critical needs. However, as this new technology area emerges, there’s a great deal of confusion regarding MDM and CDI functionality. The terms themselves are often misused or misinterpreted, resulting in misinformed decision-making, over-investment, or lack of adoption.

Baseline’s MDM Executive Overview introduces managers in both business and IT to the concepts of MDM and CDI. The workshop lays out a framework for positioning MDM and CDI as key business solutions and integrating them into the standard operating environment at companies.

You’ll gain a common vocabulary—a “baseline” of understanding—that you can use to move forward with MDM in a deliberate way. You’ll learn the five levels of MDM maturity and the discrete functionality that must be present to progress through each stage. The workshop illustrates architectural options and offers adoption and implementation approaches that help managers determine which MDM capabilities are right for their companies.

Throughout this half-day workshop, you’ll hear real world examples of how companies have succeeded with MDM and CDI, and the lessons they learned along the way.

Pre-workshop preparation includes a conference call with Baseline principals to understand your experience with MDM/CDI and to identify your immediate goals and opportunities. Following the workshop’s completion, Baseline presents you with a set of moving forward recommendations in the form of an MDM Approach Memo.

» Back to top of page

Who Should Attend

This workshop is right for the following sets of participants, alone or in combination with one another:

• Line of business managers responsible for projects that rely on data integration and accuracy (for example, business intelligence reporting, regulatory compliance, or operational CRM).
• Business and IT executives who want to understand the value proposition of MDM and CDI.
• IT architects who need to understand how to integrate MDM and CDI into an existing technology infrastructure.
• Data warehouse or business intelligence (BI) competency center teams interested in understanding the interrelationships between BI, MDM, and CDI.
• Data quality owners looking for ways to automate data reconciliation and business rules at the enterprise level.
• Members of the data governance council who need to understand the impact of MDM and CDI on managing data as a corporate asset.

» Back to top of page

Workshop Deliverables

• Goals and Opportunities for MDM Implementation (pre-workshop preparation).
• MDM Maturity: A first-cut view of your company’s “as is” environment and maturity stage.
• MDM Approach Memo (post-workshop recommended next steps).
  

» Back to top of page

Workshop Agenda

1. MDM and CDI Defined
   • Addressing the Business Need: The Information Challenge
   • Common Problems Due to Lack of Master Data
   • The Business Benefits of the “Single Version of the Truth”
   • Definition and Comparison of MDM and CDI
   • Data Quality and MDM
   
2. Baseline's MDM Maturity Model
   • Five Levels of Maturity for MDM
   • From 0 to 5: A Structured Pathway Forward
   • MDM and Data Governance Evolving Together
   • Case Study: MDM in Practice
3. Architecting and Implementing MDM and CDI
   • What's a Hub?
   • Common CDI Architecture Frameworks
   • Evaluating Your Incumbent Technologies
   • Case Study: CDI Architecture
4. Roles and Responsibilities
   • Data Governance
   • Data Management
   • Data Stewardship
   • The Organizational Challenges
   • Case Study: A Data Management Organization Chart
5. Challenges and Next Steps
   • Common Gotchas and Lessons Learned
   • Questions to Ask The Business
   • How to Get Started and What To Do Next
   • A Best Practice Checklist for Success
6. Questions & Answers

» Back to top of page