This week, I wrote about data fetishes on Active Information. Excerpt:
“On the Big Data front, I’m intrigued by the potential of fast, wide and deep data processing to solve hard problems, learn from outliers and make informed, data-driven decisions.
And, as my clients will attest, I advocate instrumenting everything as a means to discover true customer, business and systems behaviors.
However, I don’t believe that all data has equal value. Nor does all valuable data hold its value over time. Good data programs rely on context and include data weeding.
But, what about the data that should never, ever get in your attention? According to Wharton’s Peter Fader, the least valuable data is the noisiest in the Big Data space: social and mobile.”
Read the post: Big data fetishes: social and mobile – Input Output.
