Last week, Phil Simon blogged about being wary of snake oil salesman who claim to be data scientists. In this post, I want to explore a related concept, namely being wary of thinking that you are performing data science by mimicking what data scientists do.
A new SAS survey uncovered a big data disconnect, with only 12 percent of organizations on board. Why weren’t more of the organizations surveyed taking steps towards a big data pay off? Without a doubt those that are implementing big data strategies will see a competitive advantage. And the longer they
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
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
Jim Harris (@ocdqblog) asks whether we can measure the half-life of data.
Does data have an expiration date? Jim Harris (@ocdqblog) explains.
Jim Harris (@ocdqblog) presents a statistically significant resolution for 2013.
Forget candy or tricks and treats. Today, @ocdqblog insists we celebrate the festival of dead data.
In a galaxy far, far away, @ocdqblog explains how data management relates to his favorite sci fi movies.
Jim Harris (@ocdqblog) explains the prediction he made about Small Data and VRM.
