The Rise of Interenterprise MDM

The recent Gartner Magic Quadrant for Master Data Management Solutions has this strategic planning assumption:

By 2023, organizations with shared ontology, semantics, governance and stewardship processes to enable interenterprise data sharing will outperform those that don’t.

Interenterprise data sharing must be leveraged through interenterprise MDM, where master data are shared between many companies as for example in supply chains. The evolution of interenterprise MDM and the current state of the discipline was touched in the post MDM Terms In and Out of The Gartner 2020 Hype Cycle.

In the 00’s the evolution of Master Data Management (MDM) started with single domain / departmental solutions dominated by Customer Data Integration (CDI) and Product Information Management (PIM) implementations. These solutions were in best cases underpinned by third party data sources as business directories as for example the Dun & Bradstreet (D&B) world base and second party product information sources as for example the GS1 Global Data Syndication Network (GDSN).

In the previous decade multidomain MDM with enterprise-wide coverage became the norm. Here the solution typically encompasses customer-, vendor/supplier-, product- and asset master data. Increasingly GDSN is supplemented by other forms of Product Data Syndication (PDS). Third party and second party sources are delivered in the form of Data as a Service that comes with each MDM solution.

In this decade we will see the rise of interenterprise MDM where the solutions to some extend become business ecosystem wide, meaning that you will increasingly share master data and possibly the MDM solutions with your business partners – or else you will fade in the wake of the overwhelming data load you will have to handle yourself.

MDM Terms In and Out of The Gartner 2020 Hype Cycle

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.
  • Cloud MDM as for example pondered in a guest blog post on this blog. The post is called Cloud multi-domain MDM as the foundation for Digital Transformation. There is still a long downhill journey for cloud MDM in the eyes of the Gartner folks.
  • Data Hub Strategy which my also be coined Extended MDM as a data hub covers more data than master data as reported in the post Master Data, Product Information, Reference Data and Other Data. This trend is trailing cloud MDM on the Gartner Hype Cycle.
  • 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.

Learn more about how solution providers cover these terms on The Resource List.

Party MDM

The Master Data Management (MDM) market has traditionally been divided into Customer MDM and Product MDM – with Vendor/Supplier MDM as a rarer third option.

However, from being an academic notion we see more and more implementations where the MDM solution is build as a Party MDM solution, where the party entity encompass customer, vendor/supplier, other business partners, internal business units and any other party entity that matters to the sell, buy and make side of the enterprise.

Party MDM

The party MDM concept will also encompass the employees (and contractors) in the business units – which can be seen as Human Resource MDM – as well as the contacts at B2B customers, vendors/suppliers and other business partners.

There are many drivers for building this model.

One example is that many enterprises, especially large corporations, has an intersection of customers and vendors/suppliers. This case was examined in the post How Bosch is Aiming for Unified Partner Master Data Management.

Then there is the good old question: “What is a customer?”. In many business scenarios there are more than direct customers that matters in marketing and selling. In manufacturing, including life science, there are B2B2C chains. In these and other industries there are influencers that matters. In life science that is healthcare professionals. In building materials that is for example architects and other construction professionals.

In banking the term counterparty is used to cover both direct customers and other parties that are referred to in the service delivery. In education there are teachers and students. In public administration there are citizens.

Practically all organizations have more parties than customers and vendors/suppliers involved in the operating model and therefore their descriptions must sooner or later be handled as master data in a unified Party MDM model. This will underpin the digital transformation that is on the agenda in every organization these days.

B2B2C in MDM, PIM and DQM

The Business-to-Business-to-Consumer (B2B2C) scenario is becoming of increasing importance in Master Data Management (MDM), Product Information Management (PIM) and Data Quality Management (DQM).

This scenario is usually seen in manufacturing including pharmaceuticals as examined in the post Six MDMographic Stereotypes.

One challenge here is how to extend the capabilities in MDM / PIM / DQM solutions that are build for Business-to-Business (B2B) and Business-to-Consumer (B2C) use cases. Doing B2B2C requires a Multidomain MDM approach with solid PIM and DQM elements either as one solution, a suite of solutions or as a wisely assembled set of best-of-breed solutions.

B2B2C MDM PIM DQM

In the MDM sphere a key challenge with B2B2C is that you probably must encompass more surrounding applications and ensure a 360-degree view of party, location and product entities as they have varying roles with varying purposes at varying times tracked by these applications. You will also need to cover a broader range of data types that goes beyond what is traditionally seen as master data.

In DQM you need data matching capabilities that can identify and compare both real-world persons, organizations and the grey zone of persons in professional roles. You need DQM of a deep hierarchy of location data and you need to profile product data completeness for both professional use cases and consumer use cases.

In PIM the content must be suitable for both the professional audience and the end consumers. The issues in achieving this stretch over having a flexible in-house PIM solution and a comprehensive outbound Product Data Syndication (PDS) setup.

As the middle B in B2B2C supply chains you must have a strategic partnership with your suppliers/vendors with a comprehensive inbound Product Data Syndication (PDS) setup and increasingly also a framework for sharing customer master data taking into account the privacy and confidentiality aspects of this.

This emerging MDM / PIM / DQM scope is also referred to as Multienterprise MDM.

Evolutionary Solutions with Disruptive Impact on the MDM and Adjacent Markets

If you read The Latest Gartner MDM Magic Quadrant there is not so many clues about that the MDM market will undergo drastic changes.

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”.

This include:

  • 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.

Evolutionary Solutions