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Maturing Reference Data Management

White Paper Published By: TopQuadrant
Published:  Jun 01, 2017
Type:  White Paper
Length:  24 pages

This paper presents a practitioner informed roadmap intended to assist enterprises in maturing their Enterprise Information Management (EIM) practices, with a specific focus on improving Reference Data Management (RDM).  

Reference data is found in every application used by an enterprise including back-end systems, front-end commerce applications, data exchange formats, and in outsourced, hosted systems, big data platforms, and data warehouses. It can easily be 20–50% of the tables in a data store. And the values are used throughout the transactional and mastered data sets to make the system internally consistent.

How well it is managed has a major impact on every aspect of an organization’s use of data — from the integrity of its business intelligence reports to the success or failure of its system integration efforts. Managing reference data well and developing a formal Reference Data Management (RDM) practice aligned with other key functions of Enterprise Information Management (EIM) is foundational, and if done well, has a high payback. Done poorly, it has a high cost.

In this paper, we describe a RDM maturity model and one likely path an enterprise can take to mature RDM. We also describe how RDM intersects with and depends on data governance practices at each maturity level. 

Reading this white paper will help you:  

  • Assess your level of RDM maturity 
  • Decide what level of maturity you want to be at and why 
  • Understand what steps you need to take to move up the maturity ladder 
  • Understand the relationships of RDM as it coevolves with other EIM functions 

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