Blog Posts: Plans & Programs
One of the legendary events in the history of analytics was the original Netflix prize. The event led to a terrific example of the need to focus on not only theoretical results, but also pragmatically achievable results, when developing analytic…
Shakespeare once wrote, “The first thing we do, let’s kill all the lawyers.” But a more likely future is automation. The legal profession has been one of the least aggressive adopters of technology in the past, and in many ways…
Last year I spoke at GE’s “Minds + Machines” event in Chicago. The event was both a product-oriented conference from a leading vendor in the emerging “industrial internet” category, and a fascinating example of how a big company like GE…
In June, I wrote about the need to fund portfolios of analytics as opposed to individual projects in order to enable analytic innovation. Tied to that theme is a common pitfall with corporate budgeting that I’d like to address here.…
You think big data is big today? Just wait until next year…or the year after that…or the year after that. It is growing exponentially. Whatever seems big now will likely seem relatively small just a short time from now. My…
I had the opportunity back in June to attend IIA’s CAO Summit in Chicago, where I sat on a panel discussing the topic “Creating an Analytics Culture.” The session was kicked off by Tom Davenport, the recognized ‘guru’ of analytics…
To many, big data feels like the wild west; little or no structure or standards and an unclear picture of how to use the data for analysis. Will there ever be a day when big data will become easier to…
INTRODUCTIONBig-thinking gurus often argue that we have moved from the agricultural economy to the industrial economy to the data economy. It is certainly true that more and more of our economy is coordinated through data and information systems. However, outside…
I wrote a blog for Harvard Business Review recently titled To Succeed With Big Data, Start Small. I argued for the need to take small steps with big data rather than going big (pun intended) from the start. I want…