Meet Mr. Confident and Mr. Not-So-Sure. Both are living in a big data world, but only Mr. Confident is succeeding. Mr. Not-So-Sure struggles with understanding the context, completeness and risk associated with data. On the other hand, Mr. Confident utilizes trusted insights from the growing volume
Big data has a value, for sure, which we often measure proportionately to its magnitudes: volume, velocity and variety. But big data also has a “disvalue” in roughly the same proportion: the more rapidly we collect more data of different types, the more likely we are to be intensifying business,
I recently spoke with a healthcare CIO to explore his perspective on the challenges of managing reference data. The points he raised reminded me of a similar conversation almost two years ago, although the two conversations had very different origins. I think the convergence of thinking stems from
Managing reference data in a healthcare system or a payer organization is not easy. While trying to wrap my head around this vexing requirement, I pondered how many coding systems I’ve learned in my health information management career.
Despite still being 39 (I celebrate the anniversary of my
As the big data conversation matures, it’s starting to sound a bit familiar. Words like “governance” and “trust” are becoming more prevalent as organizations move from big data theory to practice.
Organizations see huge opportunity in big data analytics, but they’re finding that insights are
When organizations don't have trust in their data, they don't act upon it. With more companies looking to use big data to get richer insights, the question of "Can I trust these data?" arises more frequently. David Corrigan, director of product marketing for IBM InfoSphere, talks about how good