Monday, 5 April 2010

El Festival del IDQ Bloggers: April 2010

El Festival del IDQ Bloggers AKA The blog carnival for Information/Data Quality Bloggers is a monthly event devised by IAIDQ which compiles great data quality related blog posts. Each month the festival is hosted by a different data quality blogger, and I am privileged to host the festival during April. Lets get on with the show, and introduce the names behind the blog posts..

Henrik Liliendahl Sørensen

As well as making extremely frequent posts on his blog, Henrik is a Data Quality and Master Data Management Professional who is also engaged within Data Architecture solutions. He currently works for Omikron Data Quality. Click over to his blog for more information.

What better place to start in this edition of the Blog Carnival than this thought-provoking post posing the question of "What is Data Quality Anyway?". Like so many of Henrik's recent posts, this one leads to an interesting discussion within the comments.

Jim Harris

An Independent consultant, speaker, writer and blogger with over 15 years of professional services and application development experience in multiple data quality related disciplines, Jim is a prolific contributor to the Data Quality community. Ever innovative in his blog posts, from his use of song lyrics, to his use of Shakespeare - not to be missed.

The Circle of Quality sees Jim guiding us through his thoughts on the interconnected business context continuum and the associated challenges with measuring quality throughout the cycle.

Oughtn't you Audit, hosted on the DataFlux blog, asks why more organisations are not fully auditing their data on a daily basis, and questions the all or nothing approach that is often seen.

Daragh O'Brien

The first person I met during my visit to the DMIQ conference in 2007, Daragh maintains multiple blogs, including DoBlog, which has been serving up posts centered on the fun side of Information Quality Management from an insiders perspective since 2006. He is also the founder of Castlebridge Associates, a leading niche Information Asset Management consulting company based in Castlebridge, Co. Wexford.

His St Patricks Day Special hosts an interesting photograph and uses it as a metaphor for information quality.

Sometimes it is the simplest things tells a humorous tale of how a home improvement DIY task led to darkness, all for the want of a piece of metadata.

In his company blog, Obscured by Clouds discusses the need to avoid having our vision of what it actually means to manage the quality and privacy of information obscured by a goal rush mentality around Cloud Computing.

Dylan Jones

Aside from being the 1st person within the DQ Internet community that I spoke to, Dylan Jones is the editor of the fantastic online community resource - Data Quality Pro, which is dedicated to helping data quality professionals take their career or business to the next level. He is a prolific author on the subject of data quality and related disciplines.

Does Your Project Suffer From Data Quality Product Myopia? looks at the pitfalls of centering your Data Quality efforts around a technology toolset, and offers some advice to aid the cure of this common condition.

Ken O'Connor

Having been described as a "Grizzled Veteran", and with almost 30 years experience across the full development lifecycle, it's not hard to understand why. Ken started his blog to share his experience and to learn from the experience of others. More information about Ken is available on LinkedIn.

Applying Lateral Thinking to Data Quality takes inspiration from Edward De Bono and asks how applying an example of De Bono's work can help improve Information Quality.

Rich Murnane

A self-described "data geek" on his twitter account, Rich has been running his blog, and sharing great posts for 5 years. He specialises in Oracle, Data Architecture & Data Quality.

De-Duplication of names using DataFlux is a St Patricks Day special, where Rich decided to take a stab at de-duplicating a list of "Patrick" names, and sharing his experiments with de-duplication using the DataFlux toolset.


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