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Phil Simon 0
Healthcare, big data and big frustrations

As part of The Affordable Care Act, many Americans have had to change insurance providers or plans. I’m old enough to realize that wide-sweeping changes like this legislation will surely face many legal, technological and financial obstacles; I've even talked about some of these issues before. Suffice to say, I didn’t expect a

Jim Harris 3
Facing ethics in a data-driven world

I have previously blogged about how the dark side of our mood skews the sentiment analysis of customer feedback negatively since we usually only provide feedback when we have a negative experience with a product or service. Reading only negative reviews from its customers could make a company sad, but could reading only

Phil Simon 0
On data, risk and LeBron

Few cities use data as much as Las Vegas. Walk into any casino and you'll see nothing sort of a paean to data. For instance, blackjack dealers use zero discretion when flipping cards. Pit bosses scour for potential cheats looking to move the needle just a few degrees. And that

Jim Harris 0
Data science and decision science

Data science, as Deepinder Dhingra recently blogged, “is essentially an intersection of math and technology skills.” Individuals with these skills have been labeled data scientists and organizations are competing to hire them. “But what organizations need,” Dhingra explained, “are individuals who, in addition to math and technology, can bring in

David Loshin 0
Examples of using graph analytics

Over the past few weeks I have been discussing the use of graph models for analyzing interconnectivity and how entity characteristics can be inferred in relation to links and connections. While we looked at the social network domain for identifying influential individuals within a social community, there are numerous other

Dylan Jones 0
Getting clinical with data quality analysis

I have recently qualified as a volunteer first responder to assist ambulance crews in my rural community, which is an interesting break from the world of data. But not a break entirely. During my training, it occurred to me that we’re simply not equipping many data quality practitioners with the

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