Bursting your filter bubble
Jim Harris (@ocdqblog) on bursting your filter bubble.
Tag: data quality
Use a no brown M&M's clause
Jim Harris (@ocdqblog) explains why you should channel your inner David Lee Roth and include a No Brown M&M's Clause.
Decision-making and the invisible information chain
Business leaders and managers at all levels within an organisation make hundreds of important decisions throughout the year and nearly all of them are driven by data.
Don’t mess with data
In Nudge: Improving Decisions About Health, Wealth, and Happiness, Richard Thaler and Cass Sunstein recounted the story of the campaign to reduce littering on Texas highways called Don’t Mess with Texas. Prior to launching it, Texas officials were enormously frustrated by the failure of their previous, well-funded, and highly publicized advertising campaigns,
Stop poor data quality STOP
In the 19th century, the harnessing of electricity brought about the means to transmit signals via electrical telegraph. The term STOP was used in telegrams to mark the end of a sentence because punctuation cost extra. Therefore, a telegram requesting an end to poor data quality would literally have been sent as “Stop Poor
This isn’t Jeopardy
Imagine a political debate between two candidates where one candidate answers every question quickly, beaming with confidence, and the other candidate answers every question slowly, and with less assertiveness in their response.
What is being measured is intrinsically fuzzy
In my previous post, with help from Alex Bellos, I explained that measuring is intrinsically fuzzy. A comment by Dave Chamberlain raised the point that there are times when a measurement is absolute on an individual datum by datum basis or, as I prefer to phrase it, accurate relative to the time
Measuring is intrinsically fuzzy
In his book Here’s Looking at Euclid, Alex Bellos recounted an experiment he performed weighing the baguettes he purchased on a daily basis from his local baker. The first baguette weighed 391 grams. The second one weighed 398 grams, the third 399 grams, the fourth 403 grams, and the fifth
20 encounters of the information management kind - #2 SAP as the source system of choice
I have encountered quite a few companies that are now anticipating the move of as many of their source systems as possible into SAP. I think this is probably a good decision for quite a few of these organizations. However, in doing so, we must keep or create data management
Do the eyes have it?
In my previous post, I looked into the magic mirrors of business leaders, more commonly called dashboards, as one example of how data visualization is used. In this post, I want to look at what we use to look — our eyes — and how they process whatever data we