Master Data Management taught by William McKnight

Master data refers to the significant entities of the organization where there is considerable interest in and potential controversy over the build of an enterprise view. 

Many companies today are codifying efforts to focus on master sets for customer, product, supplier, and other subjects. This is being done to gain efficiencies and direct or indirect bottom-line company improvement. This session will discuss what MDM is, how it is architected into information management environments, and how to outline the business case. 

This seminar provides a practical guide to implementing successful MDM from experience. It covers all the aspects of MDM, from justification to architecture to data management and project management. This class gives the common process, organizational and architectural focus for building strategies and implementing master data management programs such as those that have consistently, for many years, improved the productivity and performance for clients including global corporate giants. 

This is a vendor-neutral class that every organization needs, regardless of the tool selected. 

Intended Audience:
Business Analysts, Chief Information Officers, Data Administrators, Data Architects, Data Modelers, Data Stewards, Database Administrators, Database Designers, Enterprise Architects, Information Technology, Leadership, Project and Program Managers, Systems Analysts

COURSE OUTLINE 

MDM Overview 

MDM Justification 

• The Process of Master Data Management Justification
• Return on Investment
• 8 Step Methodology to MDM ROI Attainment and Measurement
• Investments in MDM

MDM Architecture 

• Architecture Approaches 
• Business Process Workflows 
• Hierarchy Management
• Customer Data Integration 
• Product Information Management

Master Data

• Conforming Dimensions for the Enterprise
• Data Modeling
• Data Security
• Syndicated Data
• Web-Based Business Content 
• Best Practices for Third-Party Data
• International Data

Data Quality 

• Data Quality Methodology
• Data Quality Rules

MDM Tool Selection 

• Tool Functionality
• Request for Information and Request for Proposal 
• Proof of Concept and Final Selection 
• Marketplace Review
• MDM Software Pricing 

MDM Project Management 

• Agile MDM Methodology
• MDM Project Phases
• MDM Project Roles and Responsibilities 
• Organizing and Planning for MDM Success
• Data Governance
• Documenting Master Data Management Projects
• Organizational Change Management 

Case Studies