The 2010 Major League Baseball (MLB) All-Star Game is being held tonight (July 13) at Angel Stadium in Anaheim, California.
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 (for the most part) the best statistical performances during the first half of the MLB season.
Last summer, I began my own annual exhibition of showcasing the bloggers whose posts I have personally most enjoyed reading during the first half of the data quality blogging season.
Therefore, this post provides links to stellar data quality blog posts that were published between January 1 and June 30 of 2010. My definition of a “data quality blog post” also includes Data Governance, Master Data Management, and Business Intelligence.
Please Note: There is no implied ranking in the order that bloggers or blogs are listed, other than that Individual Blog All-Stars are listed first, followed by Vendor Blog All-Stars, and the blog posts are listed in reverse chronological order by publication date.
Henrik Liliendahl Sørensen
- What’s In a Given Name?
- Returns from Investing in a Data Quality Tool
- The Next Level
- Big Time ROI in Identity Resolution
- Data Quality from the Cloud
- What is a best-in-class match engine?
- What is Data Quality anyway?
- Bad word?: Data Owner
- The Myth about a Myth
- Create Table Homo_Sapiens
From Data Quality Pro:
- Rise of the Data Quality Practitioner 2.0
- Data Quality Project Selection - A Missing Skill?
- How Are You Creating a Pull for Data Quality in Your Organisation?
- Does Your Project Suffer From Data Quality Product Myopia?
- Are You "Cookie-Cutting" Your Data Quality Strategy?
- WANTED: Data Quality Change Agents
- Radioactive gold data
- Does data make you lonely ?!?
- The Data Accident Investigation Board
- The Data Zoo (Five Part Series and White Paper): Part 1, Part 2, Part 3, Part 4, Part 5
- How tasty is your data quality cheese?
From Rich Murnane's Blog:
- The Data Management "A-Team"
- Data Management: Marketing Your Data Governance Efforts
- How to identify your "Data Quality Savages"
- Something happened on the way to better data quality...
- Data Quality Scorecard by client - and beyond...
- Data Governance - We do in fact sweat the small stuff...
- Data Quality issue in my new database - or so we thought...
From Data Factotum:
- How are you Executing your Data Quality Strategy?
- How do you identify your strategic data?
- The First Step on your Data Quality Roadmap
- Can motivations impact the state of data quality?
- A balanced approach to scoring data quality (Six Part Series): Part 1, Part 2, Part 3, Part 4, Part 5, Part 6
- The Great Expectations of BI
- Questions to measure BI DQ/DM success
Initiate – an IBM Company
- Uniqueness is in the Eye of the Beholder
- Surfing the Waves of MDM
- A New Dimension in Data Governance Directives: Politics
- The Relationship Between MDM and Data Governance
- Entity Resolution Taken One Step Further: “Spot The Difference”
- My Data Governance Hero: A True Story
- Nerd Appeal or Boardroom Fare?
- Series: Building an MDM Roadmap
- The Peanut Butter and Chocolate of Data: MDM and SOA
- Hear Ye! Hear Ye! Declarations for Data Governance
- The Importance of Scope in Data Quality Efforts
- A Data Governance Primer (Three Part Series): Part 1, Part 2, Part 3
- Blind Vendor Allegiance Trumps Utility
- Data Profiling with SQL is Hazardous to Your Company’s Health
- The Tyranny of Consensus
- MDM Can Challenge Traditional Development Paradigms
- Charm School: It’s Not Just for IT Anymore
- The Good News about MDM Market Consolidation
- The “And” Syndrome: How to Keep BI Development Proactive
- The Quality Gap: Why Being On-Time Isn’t Enough
- MDM and All That Jazz
- Could Data Governance Help the War on Terror?
DataFlux – a SAS Company
From Community of Experts:
- Data profiling: Are you closing the loop?
- The Myth of the “Golden Record”
- Questions for your next data quality business case
- Identity Resolution, Cleansing, and Survivorship
- Why are there Duplicate Records?
- Data Quality Non-Believers
- Data Quality, Data Requirements, Data Use
- Thoughts on Identifying Attributes
- Warning: Data Quality Improvement Can Seriously Damage Your Business
- Data-driven customer churn
- Data Streams and Data Rules
- Distant Early Warnings
From the IAIDQ, read the 2010 issues of the Blog Carnival for Information/Data Quality: