Multienterprise MDM

One of the terms on the move on the Gartner Hype Cycle for Information Governance and Master Data Management is Multienterprise MDM.

Doing Master Data Management (MDM) enterprise wide is hard enough. The ability to control master data across your organization is essential to enable digitalization initiatives and ensure the competitiveness of your organization in the future.

But it does not stop there. Increasingly every organization will be an integrated part of a business ecosystem where collaboration with business partners will be a part of digitalization and thus we will have a need for working on the same foundation around master data.

The different master data domains will have different roles to play in such endeavors. Party master will be shared in some degree but there are both competitive factors, data protection and privacy factors to be observed as well.

MDM Ecosystem

Product master data – or product information if you like – is an obvious master data domain where you can gain business benefits from extending master data management to be ecosystem wide. This includes:

  • Working with the same product classifications or being able to continuously map between different classifications used by trading partners
  • Utilizing the same attribute definitions (metadata around products) or being able to continuously map between different attribute taxonomies in use by trading partners
  • Sharing data on product relationships (available accessories, relevant spare parts, updated succession for products, cross-sell information and up-sell opportunities)
  • Having access to latest versions of digital assets (text, audio, video) associated with products

The concept of ecosystem wide Multi-Domain MDM is explored further is the article about Master Data Share.

MDM Fact or Fiction: Who Knows?

Over at the IRM connects blog Aaron Zornes wrote about MDM & Data Governance Market 2018-19: Facts vs. Beliefs.

It is always fun to be entertained by analysts bashing each other and Aaron Zornes makes no exception in his blog post when pointing out that it took Gartner 12 years to realize that there are not two MDM markets anymore (Customer MDM / CDI vs Product MDM /PIM) but only one.

Also, the recent vitalized notion of Application Data Management (ADM) by Gartner gets a few words about who is lagging and who is leading in market analysis.

Else the two entertaining trends the coming years will according to Aaron Zornes be Graph databases and machine learning.

MDM ADMSo, a lot of questions for buyers and vendors are piling up:

  • Should your solution be multi-domain MDM or will there still be room for specialized CDI (Customer Data Integration) and PIM (Product Information Management) solutions?
  • Does ADM (Application Data Management) solutions, meaning building your master data capabilities inside ERP, CRM and so make sense?
  • Will graph databases really brake through in MDM soon?
  • Can ML (Machine Learning) help delivering business benefits in MDM – and when will that happen?

As the analysts disagree between each other, you can have your say here on the list by commenting on this blog post, under the registered solutions or as a not yet listed vendor registering your disruptive solution.

Why IBM Declined to Participate in The Gartner MDM Magic Quadrant

The latest Gartner Magic Quadrant for Master Data Management Solutions was published a month ago as touched in the post Disruptive Forces in MDM Land.

In the section about IBM, there were this note: “IBM declined to participate in this research and did not supply supplemental information. Gartner’s analysis is therefore based on other credible sources, including previous research input from IBM, customer inquiries, Peer Insights reviews submitted during the period covered by this research and other publicly available information.”

My guess is that Gartner and IBM already had a bad relation around the previous report which led to that this report was delayed a couple of months as told in the post Gartner MDM Magic Quadrant in Overtime.

old-schoolRecently Nancy Hensley of IBM published a post called Understanding the new Gartner MDM Magic Quadrant and the IBM position. In here Nancy explains that IBM chose not to participate because IBM has a different point of view on where the MDM marketplace is going. In other words: The Gartner MDM market view is old school.

Perhaps magic quadrants, and analyst reports in general, are old school then. Perhaps the new school is that IBM and all the other vendors explain themselves – and can be reviewed by the (professional) crowd. Well, this is the idea behind The Disruptive MDM List.

10 Analyst Firms in the MDM Space

When working with Master Data Management (MDM) it is always valuable to follow the analyst firms that are active on this subject and the related subjects as data quality, data governance and data management in general. You can learn from their insights – and disagreements – on the matters. Here are 10 analyst firms I follow:

Gartner, the large analyst firm known for their magic quadrants, hype cycles and cool vendor lists. There is a lot of brain power in this firm and they have never been caught in admitting a mistake. Quite a lot of posts on my blog mentions Gartner.

Forrester, another firm with heaps of analysts. Forrester has though been less prominent in the MDM world since Robert Karel left for Informatica. However, there are lots of wider insights to gain from as mentioned in the post Ecosystems are The Future of Digital and MDM.

The MDM Institute, which basically is Aaron Zornes, known as the Father Christmas of MDM. Aaron Zornes was the inspirational source in a post called MDM as Managed Service.

The Information Difference, headed by Andy Hayler. They publish a yearly MDM landscape report latest referenced on this blog in the post Emerging Database Technologies for Master Data.

Bloor Group has occasionally made reports about MDM latest mentioned on this blog in the post The MDM Market Wordle.

Ventana Research has been especially active around Product Information Management (PIM) as seen in the press release on their Product Information Management Research.

Intelligent Business Strategies, run by Mike Ferguson. No nonsense, plain English insights from the around the UK Midlands. Home page here.

Constellation Research, the Silicon Valley perspective. Home page here.

The Group of Analysts has published a series of interviews with MDM and PIM notabilities as for example this one with Richard Hunt of Agility Multichannel on Content Gravity.

Aberdeen Group, a company you as a MDM vendor can hire to put numbers on your blog as for example Stibo Systems did here.

Analysts

Disruptive Forces in MDM Land

For the second time this year there is a Gartner Magic Quadrant for Master Data Management Solutions out. The two leaders, Orchestra Networks and Informatica, have released their free copies here and here.

Now Gartner have stopped having a list of vendors on the market too small to be in the actual quadrant. So, if you are looking for new thinking, you will have to read the section about disruptive forces in the MDM market.

Gartner says that every market experiences disruptive forces that influence its overall shape and trajectory over time, and that inspire innovation, both transformational and incremental. According to Gartner, those most prominent in the MDM market appear diametrically opposed.

The current market is dominated by vendors who have predominantly taken a platform-centric approach involving robust technology stacks categorized as application-neutral hub-based solutions. Thus, the business value of the resulting master data is realized through utilization of that data within business applications or suites, or analytics platforms, external to the MDM solution — such as CRM, ERP and e-commerce systems, and data warehouses.

One disruptive force against that is an increase in business applications or suites with embedded ADM (Application Data Management) capabilities that address organizational needs for data management, including MDM (to varying degrees), while also managing nonmaster data for the pertinent application. Gartner states that application-centric approaches for some organizations can return greater value than platform-centric approaches in the short term and do so at reduced cost.

The opposing disruptive force stems from the emergence of more generalized data management solutions. These provide for unified execution logic on top of what is effectively an integrated technology stack. Vendors envision the primary consumption model to be cloud-based subscription. As such, these solutions will also provide a means for midmarket organizations and SMBs to procure advanced data management capabilities (such as MDM) using this model of consumption. Executed crisply, cloud-based subscriptions to these solutions may even moderate the rise of cloud-based MDM offerings.