Growth on the MDM Market

As reported yesterday a new Gartner MDM Magic Quadrant is out.

MDM Growth
MDM license and maintenance revenue in M USD and growth %. Source: Gartner.

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.

The Latest MDM Magic Quadrant

With some delay the latest Gartner Magic Quadrant for Master Data Management Solutions has now being published and has began surfacing on the vendor websites.

I will get back with more take away. As a starter, a short look at the movements in the quadrant, where it can be observed that:

  • Informatica is heading towards the top-right corner
  • TIBCO Software has defended the second place held by Orchestra Networks following the take over
  • Semarchy is up in third position following the high jump into the challengers quadrant last year

MDM MQ 18 to 19Bigger picture here.

Download the report from Semarchy here or Informatica here.

Most Visited Posts in 2019

Another year has gone as this blog is well into the 11th year of being online.

The 3 most visited blog post this year were:

AI iconData Matching, Machine Learning and Artificial Intelligence: A post from November 2018 about how AI and data matching has been combined for many years and how this theme has got a revival with the general rise of Artificial Intelligence (AI).

Data ManagementA 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 GartnerForrester 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.

Happy New Year.

Four Themes That Will Take MDM Beyond MDM as We Have Known 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.

Semarchy XDMThis include:

  • Utilizing data discovery to explore data sources with master data, reference data, critical application data and other kinds of data as described in the post How Data Discovery Makes a Data Hub More Valuable.
  • Governing the full set of data that needs to be governed as examined in the post Maturing RDM, MDM and ADM With Collaborative Data Governance.
  • Building a data hub that encompass the right representation of data that needs to be shared enterprise wide and even business ecosystem wide as explained in the post Why Flexible Data Models are Crucial in Data Sharing.
  • 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.

These themes were also covered in a webinar I presented with Semarchy last month. Watch the webinar The Intelligent Data Hub: MDM and Beyond.

The PIM Market as Seen by IDC

The are not so many reliable market reports dealing with the Product Information Management (PIM) market. So, it is interesting that a new one from an acknowledged source has arrived.

IDC has published their first PIM MarketSpace report. As stated in the report: “Historically, PIM has been closely associated with master data management (MDM) software, which provides a central source of truth for product data. However, MDM applications, as they were originally conceived, have some shortcomings when it comes to supporting today’s digital commerce requirements.”

When ranking the vendors, IDC reached this result:

IDC Marketscape PIM 2019 20

You can, against your personal data, get a partial report from Akeneo and Salsify.

PS: You can learn more about some of the other solutions on The Disruptive MDM /PIM /DQM List.

The Two Data Quality Definitions

If you search on Google for “data quality” you will find the ever-recurring discussion on how we can define data quality.

This is also through for the top ranked none sponsored articles as the Wikipedia page on data quality and an article from Profisee called Data Quality – What, Why, How, 10 Best Practices & More!

The two predominant definitions are that data is of high quality if the data:

  • Is fit for the intended purpose of use.
  • Correctly represent the real-world construct that the data describes.

Personally, I think it is a balance.

Data Quality Definition

In theory I am on the right side. This is probably because I most often work with master data, where the same data have multiple purposes.

However, as consultant helping organizations with getting the funding in place and getting the data quality improvement done within time and budget I do end up on the other side.

What about you? Where do you stand in this question?

When Can We Expect the Next Major MDM/PIM/DQM Market Report?

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 latest such ones are:

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.

MDM PIM DQM Solutions

PS: You can check out many of the included solutions on The Disruptive MDM / PIM / DQM List.

It Is Black Friday and Cyber Monday All the Time at the Disruptive MDM / PIM / DQM List

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.

Black Friday

As a solution provider you can against a very modest fee register your solution here.

Happy Black Friday and Cyber Monday.

Kalido is Back

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.

When the term MDM emerged in the mid 00’es, Kalido was already a capable MDM solution and the software has over the years been well positioned in analyst market reports.

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.

Kalido years

Why Flexible Data Models are Crucial in Data Sharing

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.

Data model

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.

Learn more about flexible data models in a data hub context in the Semarchy whitepaper authored by me and titled The Intelligent Data Hub: Taking MDM to the Next Level.