Data Quality Blogging All-Stars
/The 2009 Major League Baseball (MLB) All-Star Game is being held tonight at Busch Stadium in St. Louis, Missouri.
For those readers who are not baseball fans, the All-Star Game is an annual exhibition held in mid-July that showcases the players with the best statistical performances from the first half of the MLB season.
As I watch the 80th Midsummer Classic, I offer this exhibition that showcases the bloggers with the posts I have most enjoyed reading from the first half of the 2009 data quality blogging season.
Dylan Jones
From Data Quality Pro:
- How to transform your ETL tool into a data quality toolkit
- DEBATE: How should data governance and data quality work together?
- Selecting Data Quality Software (Two Part Series): Part 1, Part 2
- Creating An Internal Data Quality Community (Four Part Series): Part 1, Part 2, Part 3, Part 4
- 15 Tips for transforming knowledge-workers into a data quality task force
- 10 Tips to help data quality professionals boost their career prospects in the downturn
Daragh O Brien
From The DOBlog:
- IQ in the Real World (a leadership return)
- Leadership - a follow up post
- Next: You’re a Leader - Lead
- First: Principles
Steve Sarsfield
From Data Governance and Data Quality Insider:
- Data Quality Project Selection
- Guiding Call Center Workers to Data Quality
- Don’t Sweat the Small Stuff, Except in Data Quality
- A Brief History of Data Quality
- Top Six Traits of a Data Champion
- Using Data Quality Tools to Look for Bad Guys
- Starting Your Own Personal Data Quality Crusade
- Building a More Powerful Data Quality Scorecard
Daniel Gent
From Data Quality Edge:
- Sun Tzu and the Art of Data Quality (Two Part Series): Part 1, Part 2
- DQ is 1/3 Process Knowledge + 1/3 Business Knowledge + 1/3 Intuition
- When Bad Data Becomes Acceptable Data
- DQ Problems? Start a Data Quality Recognition Program!
- Five Attributes for the Data Quality Analyst
Henrik Liliendahl Sørensen
From Liliendahl on Data Quality:
- The Statue of Liberty versus The Little Mermaid
- Service Oriented Data Quality
- Fit for what purpose?
- Qualities in Data Architecture
Stefanos Damianakis
From Netrics HD:
- TSA False Negatives and the URoSD
- TSA “Secure Flight” will require more demographic information
- Narrative Fallacy and Data Matching
- What’s in a Name? (Three Part Series): Part 1, Part 2, Part 3
Vish Agashe
From Business Intelligence: Process, People and Products:
- Don’t shoot the messenger, attack the message! How to avoid data quality issues from derailing BI initiatives
- Making a case for Enterprise Data/Information Quality (EDIQ) initiatives
- Who is responsible for data quality?
Mark Goloboy
From Boston Data, Technology & Analytics:
- Lightweight Data Governance: A Starting Point
- B2B vs. B2C Matching for Sales and Marketing
- Letting B2B Data Die or: How I Learned to Stop Worrying and Ignore the Problem
- CRM Data Quality for Sales and Marketing
Additional Resources
Over on Data Quality Pro, read the data quality blog roundups from the first half of 2009:
- Data Quality Blog Roundup - June 2009 Edition
- Data Quality Blog Roundup - May 2009 Edition
- Data Quality Blog Roundup - April 2009 Edition
- Data Quality Blog Roundup - March 2009 Edition
- Data Quality Blog Roundup - February 2009 Edition
- Data Quality Blog Roundup - January 2009 Edition
From the IAIDQ, read the 2009 issues of the IAIDQ Blog Carnival:
- El Festival del IDQ Bloggers (June 2009)
- El Festival del IDQ Bloggers (May 2009)
- El Festival del IDQ Bloggers (April 2009)
