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Wednesday
Dec022009

Data Quality Blog Roundup - November 2009 Edition

image Welcome to the November 2009 data quality blogger roundup.

A huge amount of activity this month in our regular feature looking at the latest blogging activity across the field of data quality. 

Data Quality Blog Roundup - November 2009 Edition

The Data Quality Blogging Olympics: These three posts formed an excellent blogging debate between Jim Harris, Henrik Liliendahl Sørensen and Charles Blyth on the subject of Single Version of the Truth, a common term in our profession - but what exactly does it mean? The contest is over (bragging rights to Charles) but it's not too late to join in the debate so please read each post and add your comments. 

 

Overcoming Objections to a Data Governance Program : Steve Sarsfield (@stevesarsfield) with an excellent post that explores 6 practical methods for overcoming objections to data quality and governance initiatives.

Graham CharltonIs postcode entry costing you conversions? : Graham Charlton from (@econsultancy) with an excellent post looking at how the way we design web forms can drive away customers and reduce profits.

image Bryan Larkin also contributed his thoughts on this content with the excellent post: Single Version of the Truth VS Single Interpretation of the Truth 

image Are You Really Ready for Data Governance? : Jill Dyché (@jilldyche) with an excellent post, posing serious questions for organisations that want to fast-track data governance by paying lip service to change management.

Data Quality in Five Verbs : Jim Harris (@ocdqblog) writing on the DataFlux Community of Experts blog provides 5 key topics he believes data quality practitioners should be focusing their attention on.

image Data Governance at the Front Line : Charles Blyth (@charlesblyth) has rapidly cemented himself not only as a skilled MDM practitioner but a great writer, here he is "all buffed up" with his shiny new blog theme posting an excellent account of how to get data governance working in the trenches.

image Making Data Governance as simple as possible, but not simpler - Part 1 : Dalton Cervo (@dcervo) with an excellent contribution, this post kicks off the series with a Data Governance Component Model and an exploration of the many definitions of data governance before Dalton rounds off the post with his own definition on data governance, great post.

image  Data Quality Enlightenment : Stefanos Damianakis explores the 3 phases of enlightenment from a data quality perspective.

 

image There is no such thing as a data quality problem… : Julian Schwarzenbach (@jschwa1) created a large amount of commentary with this post, citing users as the primary source of data quality issues, in the words of Julian - is he too radical in his thinking? Why not add your thoughts to the debate.

Business, Information and Technology : Mike Meier with an interesting post that ultimately proves the link between intelligent decision-making and effective governance.

 

image

Unless your perfect, expect some giggles when opening your (data) kimono... : Rich Murnane (@murnane) reports on the recent data quality outcry from the Recovery.gov initiative, an excellent, thought-provoking post for anyone looking to widen the publication of their data.

image Plug and Play Data – The future for Data Quality : Ken O'Connor (@kenoconnordata) with a great post looking at the importance of re-usable data and how, as practitioners, we need to educate organisations on how to view data as an enterprise, shareable asset.

imageThe Sad State of Data Quality: David Waddington reports on the recent Information Difference survey, with 63% of respondents citing no figures for what poor quality data is costing them it certainly makes for interesting reading.

imageWho then is my customer? : Daragh O Brien (@daraghobrien) provides a personal account of how communication failure can impact our information customers.

imageBroken business processes : Graham Rhind ( @grahamrhind) continues his exposé of data quality vendors who are inflicting poor quality data on their business and a poor quality experience on their prospects (be sure to read the latest posts from Graham's blog for an update).

Ian Stahl

Data Governance Principle #1: “Win Early” : Ian Stahl of (@InitiateSystems) talks about the importance of "What's Important Now" when building a business and political strategy.

 

As ever, if I missed your blog post or article then please drop me a note via twitter: @dataqualitypro or email: editor@dataqualitypro.com

Useful Resources

 

Find all posts in : DQ Blog Roundup

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