Data Quality Assessment (amazon affiliate link)

I've just started reading Data Quality Assessment by Arkady Maydanchik. From the back cover blurb:

DATA QUALITY ASSESSMENT is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organization. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analyzing data errors. Master techniques in data profiling and gathering metadata, designing data quality rules, organizing rule and error catalogues, and constructing the dimensional data quality scorecard.

Sounds intriguing.  I'm a fan of theory though, because I think it helps professionals better react to real world situations, so I'll have to see what the publisher means by "skipping theory".

Quote of the day:
I am certain there is too much certainty in the world. - Michael Crichton

I'm happy to announce that Gartner has published a research note on Industry Standard Data Models (ISDM) and InfoAdvisors' services in helping clients use them effectively.  If you are attending DAMA, contact me (karen@infoadvisors.com) for information on how to get a complimentary copy of this case study.

This research note, InfoAdvisors: Modeling Beyond a Blank Sheet, authored by Michael Blechar, focuses on how organizations can benefit from adopting ISDMs.  He discusses how InfoAdvisors provides insights into the benefits, risks and best practices involved with implementing industry-standard data models and patterns.

If your organization is a Gartner subscriber, you can download the note for free by visiting Gartner.com and searching for InfoAdvisors or using the research ID: G00154734.

Otherwise, you can purchase the note from the Gartner website.

As a reminder, I will be speaking on a similar topic at the upcoming DAMA LA meeting on 25 February 2008.  See our event listings for more information.