 | |
| Master Data Management Training |
Master Data Management is importance.
High-quality, low-redundancy reference data is essential in business today. Customer relationship management (CRM) without customer data integration is difficult. Effective supply chain management is equally difficult without integrated product, supplier, and partner data. These are but two examples among the many reasons that MDM - a relatively young discipline - has moved so rapidly from emerging to mainstream. MDM is no longer a "nice to have." It has taken a place among the essential competencies for business success.
Master Data Management Training
This seminar provides a practical guide to implementing successful Master Data Management from experience.
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 the vendor-neutral class that every organization needs, regardless of the tool selected.
Objectives
You will learn
How MDM provides benefits to an organization and how to justify an MDM project
The various architectural styles of MDM
How to incorporate syndicated data to MDM
What MDM provides for hierarchy management and data governance
How to improve data quality in an MDM system
How to go to market for an MDM tool
How to understand the workload given a tool and the requirements
How to manage an MDM project
All the roles and responsibilities on an MDM project
How to manage the organizational change that occurs with MDM projects
How some other companies effectively did MDM
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
http://casertaconcepts.com/training-tutorial/master-data-management-training/
