Welcome to the June and July 2010 issue of El Festival del IDQ Bloggers, which is a blog carnival by the IAIDQ that offers a great opportunity for both information quality and data quality bloggers to get their writing noticed and to connect with other bloggers around the world.
It is essential to the success of a data quality initiative that its key concepts are clearly defined and in a language that everyone can understand. Therefore, I also recommend that you check out the free online data quality glossary built and maintained by Graham Rhind by following this link: Data Quality Glossary.
Lemonade Stand Data Quality
Steve Sarsfield submitted his July blog post Lemonade Stand Data Quality, which explains that data quality projects are a form of capitalism, meaning that you need to sell your customers a refreshing glass and keep them coming back for more.
What’s In a Given Name?
Henrik Liliendahl Sørensen submitted his June blog post What’s In a Given Name?, which examines a common challenge facing data quality, master data management, and data matching—namely (pun intended), how to automate the interpretation of the “given name” (aka “first name”) component of a person’s name separately from their “family name” (aka “last name”).
Solvency II Standards for Data Quality
Ken O’Connor submitted his July blog post Solvency II Standards for Data Quality, which explains the Solvency II standards are common sense data quality standards, which can enable all organizations, regardless of their industry or region, to achieve complete, appropriate, and accurate data.
How Accuracy Has Changed
Scott Schumacher submitted his July blog post How Accuracy Has Changed, which explains that accuracy means being able to make the best use of all the information you have, putting data together where necessary, and keeping it apart where necessary.
Uniqueness is in the Eye of the Beholder
Marty Moseley submitted his June blog post Uniqueness is in the Eye of the Beholder, which beholds the challenge of uniqueness and identity matching, where determining if data records should be matched is often a matter of differing perspectives among groups within an organization, where what one group considers unique, another group considers non-unique or a duplicate.
Uniqueness in the Eye of the NSTIC
Jeffrey Huth submitted his July blog post Uniqueness in the Eye of the NSTIC, which examines a recently drafted document in the United States regarding a National Strategy for Trusted Identities in Cyberspace (NSTIC).
Daragh O Brien submitted his July blog post Profound Profiling, which recounts how he has found data profiling cropping up in conversations and presentations he’s been making recently, even where the topic of the day wasn’t “Information Quality” and shares his thoughts on the profound benefits of data profiling for organizations seeking to manage risk and ensure compliance.
Wanted: a Data Quality Standard for Open Government Data
Sarah Burnett submitted her July blog post Wanted: a Data Quality Standard for Open Government Data, which calls for the establishment of data quality standards for open government data (i.e., public data sets) since more of it is becoming available.
Data Quality Disasters in the Social Media Age
Dylan Jones submitted his July blog post The reality of data quality disasters in a social media age, which examines how bad news sparked by poor data quality travels faster and further than ever before, by using the recent story about the Enbridge Gas billing blunders as a practical lesson for all companies sitting on the data quality fence.
Finding Data Quality
Jim Harris (that’s me referring to myself in the third person) submitted my July blog post Finding Data Quality, which explains (with the help of the movie Finding Nemo) that although data quality is often discussed only in its relation to initiatives such as master data management, business intelligence, and data governance, eventually you’ll be finding data quality everywhere.
In addition to the official submissions above, I selected the following great data quality blog posts published in June or July 2010:
- New species in the Data Zoo – Not Bovvered
- Good King Censusless
- How to Measure Data Accuracy?
- The Holy Grail Of Data Quality – Linking Data Quality To Business Impact
- The Triple Threat to Good Decisions: Data, Time and Emotion
- Continuous Partial Attention
- Warning! Information consumers are also information producers by default
- Are You Creating Duplicate Records?
- When it comes to data quality, it’s the last mile that counts
- Master Data and Reference Data
- “WOW! I didn't realize our data was that bad”
- Data Governance Remains Immature
- The Importance of Scope in Data Quality Efforts
- Data Governance: The People Make It Real
- Predictably Poor MetaData Quality
- What To Do About Your Stale Customer Data
- Data Quality Control vs Data Quality Assurance
- Falsehoods Programmers Believe About Names
- The role of a Business Analyst in the Management of Information
- Does Enterprise Data Quality need to push the boundary more?
Check out the past issues of El Festival del IDQ Bloggers