A blog by Oleg Shilovitsky
Information & Comments about Engineering and Manufacturing Software

PLM and MDM – How to start right?

PLM and MDM – How to start right?
olegshilovitsky
olegshilovitsky
18 August, 2009 | 2 min for reading

Product Lifecycle Management and Master Data Management. I had chance to raise this issue few months ago in my post Will Master Data Management Work for PLM? Few days ago, interesting publication from Gartner about their research in area of MDM and, more specifically, about overlap between MDM and PLM. Andrew White together with Marc Halpern published paper called “Interfacing of PLM and MDM for cross enterprise needs”. The conclusion made by Andrew in his blog article is simple – use a right tool for the right job.
In more detailed way, they explained PLM itself as a not mature software category in comparison to ERP, SCM, CRM etc. With lack of maturity and unclear agreed position and usage of MDM, PDM, PLM prevented earlier exploration of intersection between these domains.

gartner-mdm-white

Now, I’d like to come back to my initial question – how to start right? What is my concern about approach “right tool for right job”? As soon as we speak about corporate and enterprise data and product IP/Knowledge, I think this approach may not work. Today’s enterprise is very siloed, information span across multiple systems – engineering, manufacturing, procurement, supply chain. As soon as a system identify in the particular functional domain, it will not create major conflicts. I see relatively simple approach to position PDM as a system to manage design and engineering data only together with Master Data Management. However, when we come to PLM approach, I see definitely conflict of interest. In my view PLM and MDM strategy has similarity in their approaches to create “single point of truth” in organization.

So, what I see as a possible PLM/MDM strategy? I think, MDM strategy and infrastructure, can provide possible foundation for managing of non-transactional data for product development. This data can be accumulated by MDM and saved for future usage. Today’s PLM implementations are mostly focused around product development, so such MDM infrastructure can be good asset PLM can use to achieve long term data retention and other data management needs. At the same time, such approach can bring significant investment into both PLM and MDM systems and probably can be acceptable only by large enterprises.

I’m interested in discussion, if you had any experience with MDM and PLM system co-existence.
Best regards,
Oleg

Recent Posts

Also on BeyondPLM

4 6
23 March, 2016

Desktop virtualization is a technology that separates you desktop environment and installed apps from the physical computer. It became popular...

28 July, 2010

iPad sales are skyrocketing. I read “Global CIO: Top 10 Reasons Steve Jobs & Apple Are The Future Of IT”....

14 January, 2009

The financial crisis possible can hit PLM companies… but remember, many successful and well-known companies were established during times of...

9 August, 2013

You think PLM is boring and complex. Actually it can be fun and easy. I think simplification is one of...

5 November, 2019

A single version of the truth is one of the most powerful PLM paradigm development for the last two decades....

29 August, 2016

SAP is acquiring big data startup Altiscale for about $125M. Altiscale is developing technology to bring “Hadoop as a Service”....

30 March, 2009

Hello New Week! After having a long ‘cloudy’ conversation last week, I feel like descending from the cloud back down...

10 December, 2012

It is hard to find somebody in PLM industry not familiar with the idea of “single point of truth”. I...

5 August, 2023

What is PLM? This question is accompany the product lifecycle management business for the last 20+ years. Started as a...

Blogroll

To the top