Master Data Management (MDM) implementation need not be complicated if IT and business work hand-in-hand. 

When considering how many different data management tools are orchestrated through a single MDM system - ETL, Data Modeling, DQ, Workflow -  procurement can be a lengthy and technically complex process. But once, having reconciled MDM’s technical challenges, a strictly, IT-based implementation may well undermine the process, creating a failed implementation. Working closely with IT, business needs to be brought into a well-phased, MDM-implementation methodology prior to communicating with vendors. 


Here are seven steps to help ensure a successful MDM implementation:

Step 1:  Tie Master Data Management to a business, process improvement initiative.

Step 2:  Identify all master data assets related to that process improvement initiative.

Step 3:  Evaluate and profile the current status of your initiative’s data quality.

Step 4:  Identify all necessary data integration for systems of record and those subscribing systems that will contribute to, or ultimately benefit from MDM’s good and consistent data.

Step 5:  Determine the most efficacious MDM implementation style to support the relationships for data exchange between the MDM Hub and all participating enterprise systems.

Step 6:  Select a flexible and versatile MDM solution that can govern and link any sharable enterprise data and connect any business domain, including reference data, metadata and hierarchies.

Step 7:  Watch the following 2-minute video for webMethods OneData.

 

 

For more information on Process-Driven MDM, please click here.

Process-Driven MDM

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