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Monday, 10 March 2014

NEW WHITE PAPER: Distributed Data Quality

In my new discussion paper, I explore the organisational and cultural challenges of implementing information governance and data quality. I identify potential problems with the traditional centralised methods of governance and data quality management, and offer alternative organisational models which can enable a more distributed and democratised approach to improving your organisations data. I also propose a simple four-step approach to delivering immediate business value from your data.

  • You have identified that you have data quality issues, but don't know where to start.
  • Your data is spread across multiple business groups and disparate business processes.
  • You have limited budget or resources.
  • Executive buy-in and "top/down" mandate for data governance is hard to come by.


  1. Alan, it looks like a great read, however your chosen media of slide share shows a poor quality text, which is not comfortable to read the whole document and appears to require various logins to download. therefore I will sadly not be reading.

  2. Thanks for your feedback Liz - the display view on Slideshare is a preview mode. You can download from there.

    Yes it requires a login to Slideshare in order to download, unfortunately Blogger does not allow native sharing of files so I have had to go to a 3rd party file-sharing host.

    Sorry that you won't be reading.

  3. Hi Liz - I've created an alternative file share on MediaFire.com. You should be now be able to access the paper without needing to log in:


  4. Gary Alleman's recent blog post makes some interesting points about the nature and number of Data Stewards: http://blog.masterdata.co.za/2014/06/24/how-many-data-stewards-does-it-take-to-screw-in-a-light-bulb/

    Gary made me think further (he often does). I think one of the challenges for those of who like an ordered world is that we seek to impose structure, often in places where it's not necessarily wanted, needed or welcomed!

    Mindful treatment and curation of data does not necessarily mean strictly controlled, hierarchical methods - a more loosely facilitated collaborative approach may be more suitable. Tools can certainly help, but we're really dealing with societal norms and behaviours here.