The latest Gartner Hype Cycle for Data and Analytics Governance and Master Data Management includes some of the MDM trends that have been touched here on the blog.
If we look at the post peak side, there are these five MDM terms in motion:
Single domain MDM represented by the two most common domains being MDM of Product Data and MDM of Customer Data. Doing Customer MDM and Product MDM is according to Gartner still going up the slope of enslightment towards the plateau of productivity.
Multidomain MDM solutions as examined here on this blog in the post What is Multidomain MDM?.According to Gartner there are still desillusions to be made for these solutions.
Interenterprise MDM, which before was coined Multienterprise MDM by Gartner and I like to coin Ecosystem Wide MDM. An example of a kind of solution with this theme will be PDS as explained in the post What is Product Data Syndication (PDS)? This trend has, estimated by Gartner, just passed the peak and have more than 5 years before reaching the plateau of productivity.
It is also worth noticing that Gartner has dropped the term Multivector MDM from the hype cycle. This term never penetrated the market lingo.
Another term that is related to- or opposed to– MDM and that is almost only used by Gartner is Application Data Management (ADM). That term is still in there making the under most radars progress near the final uphill climb.
Therefore, it is refreshing that Gartner analyst Malcolm Hawker has written a blog post called The Evolution of MDM. In here Malcolm Hawker examines the “evolutionary forces that are having disruptive impacts on the markets for MDM software and several adjacent markets”.
The growing use of graph and AI/ML
The increasing use of graph in big data environments for entity resolution
The idea that a gold master record could be created at ‘run time’
The explosive growth of MDM deployments in the cloud
A blog post about the future and a magic quadrant that primarily observes what happened a year or more ago at existing deployments at large organizations is, as Malcolm Hawker also indicates, of course two different things.
For organizations on the look for a platform covering MDM and/or the adjacent markets (CDP, PIM, PDS and more) the relevant vision, roadmap and approach at the vendors is crucial.
Use this list to get and overview of who has the innovative direction that fits your organization.
There is a new Gartner Magic Quadrant for Master Data Management Solutions out. The Magic Quadrant is, besides a market overview, a generic ranking of solutions with a yearly license and maintenance revenue above 15 million USD.
This list (The Disruptive MDM/PIM/DQM List) is a list of registered solutions with a select your solution service based on your context, scope and requirements *). This list does besides MDM also cover the full range of Product Information Management (PIM) solutions and Data Quality Management (DQM) solutions as well.
Some innovative MDM solutions are both on the MDM magic quadrant and on this list. These are:
Informatica, who is the top-right leader in the quadrant
Semarchy, who is the top challenger in the quadrant
The publication schedule from the analyst firms can be unpredictable.
Information Difference is an exception. There have during the years every year been a Data Quality landscape named Q1 and published shortly after that quarter and an MDM landscape named Q2 and published shortly after that quarter. However, these reports are relying on participation from relevant vendors and not all vendors prioritize this scheme.
Forrester is quite unpredictable both with timing and which market segments (MDM, PIM, DQM) to be covered.
Gartner is a bit steadier. However, for example the MDM solution reports have been coming in varying intervals during the latest years. Let us see when the next ones are published and what news they bring.