Establishing 'Making it Happen' as a 'Formal & Predictable' Discipline

Execution-MiH ENCYCLOPEDIA → Enterprise Intelligence → SECTION - Master Data Management →

CHAPTER -

Master Data Management- Overview

We have just started writing on Master Data Management, and this chapter provides an overview of the concept.

Topics

Master Data Management definition- What is MDM-CDI?

MDM provides a single reference point for reliable and authoritative Master Data. It is a foundation data management capability which serves business applications and processes. BI is one among its linkages. Customer Data Integration, Product Information Management and Vendor Information Management are among many domains of MDM.

Master-Data-Management CDI Objectives components

MDM objectives include Data Quality, Standardization, Single point of reference and high availability. MDM components are centered on integrating master data in MDM-Hub.

Master-Data-Management CDI Architecture Modeling

Architecture and modeling principles of MDM are based on achieving flexibility, extensibility, open computing framework, de-coupling the information flow, and highly secure environment.

MDM CDI Hub Source

There are various scenarios in which MDM-CDI hub has to map with the source systems. This page shares the scenarios of one-to-one, many-to-one, one-to-may across single and multiple source system and how this mapping works at a logical level.

Master-Data-Management CDI Usage pattern

As MDM is providing quality Master Data to wide variety of enterprise applications, there are many different patterns in which it can be architected and used. This ranges from a simple one-way master data publishing to a real-time two way synchronization.

Master-Data-Management CDI Hub Architecture

Master Data Management can be deployed through different architecture styles or a combination of them. The styles range from a HUB just having the pointers to the data physically lying in the Source system to a centralized physical hub. No style is ideal and depends upon the state of data and level of readiness. You can adopt different styles for different type of master data.