Archive for the ‘Data Stewardship’ Category

MDM is Dead: Long Live MDM!

Tuesday, February 23rd, 2010

There have been a number of discussions and blogs recently questioning or musing (“tongue-in-cheek”) if MDM, as we know it, is dead. Andrew White of Gartner unleashed a torrent of comment and debate with his blog “Something beyond MDM is coming your way – would MDM 2.0 fly?”. While Christopher Blotto from the Knowledge Group suggests for MDM read EIM..

I think MDM as a discipline is alive and well and at a very interesting phase of maturity, even if MDM the Project may be a little “dazed and confused”. I am very encouraged by the recent attention being paid to Information Architecture. In particular how it can be a conduit to support Data Governance from the office of the Enterprise Architect. I am also encouraged to hear more people talking about ‘Operational MDM’ as opposed to ‘Analyical MDM’.

Call me a blind optimist, but I believe MDM has a very bright future; especially if we can focus more on the operational side and take a more process centric view: i.e. ensuring data (and master data in particular) is fit to support business processes.

There are barriers of course, but none of them is insurmountable. In particular organizations need to think about gaining control of and governing master data, right at the point where it is being originated or first captured. If they can achieve this they are more likely to be able to

  • Attain the full benefits of their MDM investment
  • Build capable data collection or data sourcing processes
  • Create and sustain high levels of data quality
  • Long Live MDM!

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    Data Quality in the Supply Chain

    Monday, January 18th, 2010

    I just picked up on a recent blog by Gartner Analyst Andrew White titled “The Importance of Data to Supply Chain – Master Data and All That” – actually it’s from a while ago but I’ve been busy. He was commenting on an interesting case study presented by Kristen Daihes, Wrigley’s Senior Manager of Global Sourcing, at last year’s IBM supply chain management event in Chicago, IL. The case study described the use of IBM’s LogicNet Plus to help with strategic supply chain network design issues.

    A couple of things struck me in the piece, one was the fact that Wrigley apparently spent 60% of the process/project time “identifying, collecting, and validating data” – as Andrew points out the time spent on data was essential to avoid the problem of “garbage in, garbage out”. (more…)

    When it comes to Data Quality Prevention is better than Cure

    Monday, October 5th, 2009

    Welcome to the new Clavis Technology Data Quality and Data Governance Blog. We hope to use this forum to share some of our experience of the world of data quality and data governance in the coming months and years. At Clavis we have some of the foremost experts in the area, with many years experience in delivering data quality and data governance solutions to large organizations.

    For my part I intend to focus on the importance of “preventative data quality” and the greater value that can be achieved by getting your data “right first time”. (more…)