Lately Jim Harris of the OCDQblog has written two excellent blog posts, or may I say home runs, discussing data quality with inspiration from baseball.
In the post Quality Starts and Data Quality Jim talks about that you may have a tough loss in business despite stellar data quality and have a cheap win in business despite of horrible data quality, but in the long run by starting off with good data quality, your organization have a better chance to succeed.
The follow up post called Pitching Perfect Data Quality Jim ponders that business success is achievable without perfect data quality, but data quality has a role to play.
Now, despite that baseball is a very popular sport in the United States, but largely unknown in the rest of world, I think we all understand the metaphors.
Also we have different but similar sports, with other rules, statistics and terms attached, over the world. The common name for these sports is bat-and-ball games.
In Britain, where I live now, cricket is huge and can be used to attract awareness of data issues. As late as yesterday the Ordnance Survey, a government body that have registries with addresses, coordinates and maps, made a blog post called Anyone for cricket? British blogger Peter Thomas also wrote among others a post on cricket and data quality called Wager.
Before coming to Britain I lived in Denmark, where we don’t know baseball, don’t know cricket but sometimes at family picnics, perhaps after a Carlsberg and a snaps or two, plays a similar game called rundbold, with kids and grandpa friendly rules and score board and usually using a tennis ball.
Data quality, not at least data quality in relation to party master data, which is the most prominent domain within the discipline, is also a same same but different game around the world as told in the post Partnerships for the Cloud.
Understanding the rules, statistics and terms of baseball, cricket, rundbold and all the other bat-and-ball games of the world is a daunting task, even though we all know how to hit a ball with a bat.
Thanks for citing my article, the following one more explicitly ties together cricket and data quality IMO:
All articles with a data quality slant can be seen here:
Thanks for reading and I’ll come back to take a better look round here in the near future.
All the best
Thanks for joining and the additional links Peter.