Some of the hard facts presented in the Gartner Magic Quadrant for Master Data Management (MDM) Solutions is how the vendor licenses are distributed between the various master data domains. You can find these figures from the previous quadrant in the post Counting MDM Licenses.
The latest Gartner Magic Quadrant for Master Data Management (MDM) Solutions was published last month.
There was not much movement in the vendors positioning compared to last year. Only, as told in the post The Latest MDM Magic Quadrant, Informatica went further top-right with their suite of 360 solutions and Semarchy went up and above SAP MDG as the top challenger.
Semarchy was also among the ones with the highest revenue growth, so their Intelligent Data Hub approach seems to work pretty well both technically and commercially.
Some years ago Gartner dropped mentioning other MDM vendors than the ones meeting the quadrant criteria. This year a small section of those has returned as Honorable Mentions. These are Magnitude Software, who recently has returned to branding their MDM offering as Kalido, Software AG, PiLog. Unidata, Boomi – the integration-oriented solution from Dell, and the data quality specialist Syncsort – who has acquired Pitney Bowes’ software and data business.
The market overview section was smaller and less informative this year. In here Gartner confirms that digitalization remains the most significant driver for growth in the MDM market and that privacy regulations also continue to drive exploration of MDM initiatives.
You can, against a minimal of personal info, download the report from Semarchy here.
While the change in positions is limited the change in market share is more significant, if we look at the license and maintenance revenue estimates provided by Gartner. The numbers included in the new quadrant published in January 2020 are 2018 estimates. The figure here compares those numbers to the 2017 numbers included in the previous quadrant published in December 2018.
The trend is that the largest providers are not growing as fast as some of the midsize providers, where Reltio, Ataccama and Semarchy are going in the fast lane.
If any of the solution providers have some 2019 updates, please comment here.
A Data Management Mind Map: A post with not so much text but instead an image reflecting how some of most addressed data management disciplines can be mind-mapped.
Forrester vs Gartner on MDM/PIM: A post about how the two most acknowledged analyst firms rate the vendors on the Master Data Management (MDM) / Product Information Management (PIM) market. Early next year we can expect a new MDM Magic Quadrant from Gartner, so let us see how things look then.
Looking forward to what the next year – and decade – brings in the data quality, MDM and PIM space and to write some posts about it.
The Master Data Management (MDM) discipline is emerging. A certain trend is that MDM solutions will grow beyond handling traditional master data entities and encompass other kinds of data and more capabilities that can be used for other kinds of data as well.
Measuring data quality in conjunction with general key performance indicators in dashboards that besides master data also embraces other internal and external sources as for example aggregated data from data warehouses and data lakes.
When selecting a solution for Master Data Management (MDM), Product Information Management (PIM) and Data Quality Management (DQM) buyers and their advisers are using the market reports from the acknowledged analyst firms operating in these markets.
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.
The upcoming Black Friday and Cyber Monday are synonymous with good deals.
At the Disruptive MDM / PIM / DQM List there are good deals all the days.
As a potential buyer on the look for a solution covering your Master Data Management (MDM), Product Information Management (PIM) and/or Data Quality Management (DQM) needs you can use the free service that based on your context, scope and requirement selects the best fit solution(s). You can start here.
One of the first Master Data Management (MDM) solutions on the market was Kalido.
According to the IT History Society, the ideas behind Kalido started in 1985 and the first software version was around year 2000 deployed at Royal Dutch Shell Group powering dozens of projects and generating tens of millions of dollars of annual cost savings.
In 2014 Magnitude Software acquired Kalido and the solution became a component in the Magnitude software offering without the Kalido brand.
However, Kalido is now back as a brand name. In my eyes turning back to the Kalido brand is a smart move as this name is still remembered among MDM practitioners as a pioneer solution in the MDM realm.
Since the take over Magnitude has further developed the solution adding some of the capabilities you will expect from an MDM solution today. This include enhancements to the data matching and master data survivorship functionality, elastic search capabilities and data integration now also utilizing the Magnitude Simba stack. Learn more about the latest version and the future roadmap in the post Welcome to Kalido MDM 11.
The Kalido MDM solution is now a part of a Magnitude data management suite that also covers Data Warehouse Automation and Business Information Modeling. Get more information about the Magnitude data management offering under the Kalido brand on the Magnitude MDM site.
Master data and reference data are two types of data that are shared enterprise wide and even in the wider business ecosystem where your company operates.
In your organization and business ecosystem the data that is shared is basically held in applications like ERP and CRM solutions that have come with a data model provided by the solution vendor. These data models are built to facilitate the operations that is supported by each of these applications and is a data model that must suite every kind of organization.
A core reason of being for a Master Data Management (MDM) solution is to provide a data store where master data is represented in a way that reflects the business model of your organization. This data store serves many purposes as for example being a data integration hub and the place where the results of data quality improvements (eg de-duplication) are stored.
Such a data hub can go beyond master data entities and represent reference data and critical application data that is shared across your organization and the wider business ecosystem within a given industry.