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.
Tag: data governance
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,
Everything is "big data" these days – but where is the data management?
When I first began working in the data management industry in 2003, I interviewed a VP of IT for a Fortune 500 manufacturer about their data quality and data integration initiatives. The executive was excited to talk about their rather novel approach to a massive ERP system integration. She mentioned that instead
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
Mirror, mirror on the data
As Beth Schultz recently blogged, Data Visualizations Beg Your Attention. And as Noreen Seebacher recently blogged, A Picture Explains a Lot of Data. Although I agree with both concepts, and I recommend reading more than just the titles of those posts, I couldn’t help but wonder if what should be begging more
Stop tapping and start talking
In my previous post, I pondered how the inevitable lag time between the definition of requirements and the delivery of solutions is exacerbated by the business world fluctuating dramatically in short periods of time. Today’s business requirements may not only be different than yesterday’s business requirements, but today’s business requirements
Requirements flux
As Steve Jobs once said: “You can’t just ask customers what they want and then try to give that to them. By the time you get it built, they’ll want something new.” The inevitable lag time between the definition of requirements and the delivery of solutions is perhaps the primary reason
Can we measure the half-life of data?
Jim Harris (@ocdqblog) asks whether we can measure the half-life of data.
Data stewardship and the benefits of employee retention
Like most Americans (who hold an average of 11 jobs over the duration of their careers), I’ve worked for a variety of companies. Some were employee-friendly, while others, to put it kindly, thought of employees as a means to an end. I was thinking about all those jobs today as we found
Data has an expiration date
Does data have an expiration date? Jim Harris (@ocdqblog) explains.