Master Data Management (MDM) is relatively new discipline. The future will prove what is was, but standing here in mid-2018 I see that we already had 2 ages and are now slowly proceeding into a 3rd age. These ages can be coined as:
- Pre MDM,
- Middle MDM and
- High MDM
In these dark ages the term Master Data Management may have been used, but there were not any established discipline, methodologies, frameworks and technology solutions around that truly could count as MDM.
We had Customer Data Integration (CDI) around, we had Product Information Management (PIM) in the making and some of us were talking Data Quality Management – and that in practice being namely deduplication / data matching.
MDM as Three Letter Acronym (TLA) emerged in the mid 00’s as told in the post Happy 10 Years Birthday MDM Solutions.
It was at that time Aaron Zornes changed his stage name from The Customer Data Integration Institute to The MDM Institute.
During this age many MDM solutions slowly but steadily have developed into multi-domain MDM solutions as reported over at the Disruptive MDM List in the blog post called 4 Vendor Paths to Multidomain MDM covering the road travelled by 10 vendors on the MDM market.
Most MDM solutions in the Middle MDM Age have been deployed on-premise
We are now cruising into the High MDM Age. First and foremost a lot more organizations are now implementing MDM. Many new deployments are cloud based. New ways are tried out like encompassing more than master data in the same platform.
The jury is of course still out about what will be some main trends of the High MDM Age. My money is placed on what Gartner, the analyst firm, calls Multienterprise MDM as elaborated in the post Ecosystem Wide MDM.