Like many baseball fans, I was spellbound by Moneyball, the 2003 Michael Lewis book that told the story of how Oakland Athletics general manager Billy Beane and his staff leveled the playing field between baseball’s biggest teams and his small market club by finding overlooked value in the “big data” of baseball statistics. While I [...]
The analytic sandbox, also called a data sandbox, is an idea that resurfaced in a big way in 2012. In case you haven’t come across one yet, Techopedia defines the data sandbox as “a scalable and developmental platform used to explore an organization’s rich information sets through interaction and collaboration.” Turns out sandboxes are an [...]
When recently pondering how balance data should be modeled, I was reminded of my favorite Star Trek episode, The Balance of Terror. Those sneaky Romulans had crossed the neutral zone and were destroying Federation outposts. Naturally, only the Enterprise was close enough to intervene. The Enterprise was faster than the Romulan ship and agile enough [...]
Since the beginning of data warehousing, practitioners have been comforted to know that facts—the individual business events that are quantified and measured—don’t change once recorded. That’s generally true when your warehouse is fed from a few highly reliable sources like the enterprise ERP and CRM systems; however, many warehouses rely on data sets that originate [...]
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