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.