It’s just that every time I hear about big data, it’s either in the context of social media, The Internet of Things, data technology, Nate Silver, or a combination of all of the above. What I don’t hear enough is the human side of data, the questions asked, the insights that are drawn, and the ways that insights are then executed against at every level that matters (internally and externally).
The problem with big data is we think that by saying “big,” we automatically convey importance and urgency up, down, and across our organization.
It’s not unlike saying social media, mobile, real-time, wearables, etc. They’re just buzz words. It’s what we do with them that counts. Big data, activity, behavior, the importance of each is in how we set out to learn and more importantly, apply learning toward adaption or innovation…everywhere. The greatest promise about big data isn’t access to it; it’s the ability to excavate intellectual gems in a mountain of commodity information. Big data takes a personal touch. I call this the human algorithm.