Master Data Management: Critical Success Factors

Master data management (MDM) is currently hyped as a new technique to ensure that an organization's core business data (i.e., data about customer, product, employee) is unique, consistent, reliable, and traceable. Sounds good! But wait … Didn't we try to achieve these benefits with ERP, data warehousing (DW), and CRM? What went wrong? All too often, data integration initiatives put too much focus on technology and not enough on basic information management principles.

Implementing MDM successfully requires more than just technology: Your organization must acknowledge that data is an important business asset. Managing data as an asset, however, requires changes in the organization: new practices, new disciplines, new methods (and some old ones resurrected), new tools and techniques, new roles and responsibilities, new policies and procedures. These changes must be systemic and holistic, not isolated and sporadic.

Spend this morning with Cutter Consortium Senior Consultant Larissa Moss to gain insight into what you need to do to play a strategic leadership role in overseeing enterprise-wide data integration programs such as MDM, CDI, CRM, data warehousing, business intelligence, and so on and help direct your organization to commit to business integration (not just technology) to successfully manage its data assets. In her half-day Seminar, Larissa Moss will review the lessons learned from ERP, DW, and CRM initiatives and will examine the critical success factors for a successful MDM implementation, such as:

• Data Governance (DG)
• Data Stewardship and Data Ownership
• Enterprise Information Management (EIM)
• Enterprise Data Model (EDM)
• EDM Data Quality Rules
• Data Administration Principles
• Roles and Responsibilities
• How to get started with MDM