Ecosystem Wide 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. However, privacy regulations as GDPR article 20 on data portability will make data sharing a must too.

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.

(PS: Ecosystem wide MDM is coined by Gartner, the analyst firm, as multienterprise MDM and later as Interenterprise MDM).

2 thoughts on “Ecosystem Wide MDM

  1. theslowdiyer 14th April 2018 / 11:29

    Quite a lot of this stuff starting to happen in sectors like FMCG/retail (where product information frequently has to be shared or published, sometimes directly but also quite often through 3rd party intermediates like GDSN etc.). Another example is in pharma and medical devices where regulatory requirements like serialisation and IDMP/UDI drives the need for exchanging data and also by extension a need for massive standardisation of terminology and definitions used.

    The interesting part is mostly how fast the rate of adoption is going to be, because even with a regulatory/compliance push behind it, these initiatives can still be treated like the ugly stepchildren by the individual companies instead of embracing the requirements as opportunities to improve. An obvious analogy or potential case study is GDPR, which is based on pretty much the same premise, so let’s see where that goes over the next 6-12 months 🙂

    • Henrik Liliendahl 14th April 2018 / 16:33

      Thanks for the comments. I agree about your observations in the industries mentioned and how compliance actually can help companies in gaining business benefits if the proper data management approaches are introduced.

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