Big Data: It Depends
How much data do we need?
It's question that I hear quite often, most recently after speaking to 100 chief executives in Atlantic City, NJ. At the end of my 45-minute talk, the CEO of an airplane parts manufacturer wanted to know what all of this "Big Data stuff" ultimately meant for him and his organization. As he asked his question, he explained that he was already able to predict "with about 90 percent accuracy" whether a given part would fail. Would analyzing different data sources really move his organization's needle? Would the juice be worth the squeeze?
To be sure, these are reasonable queries. I'll be the first to admit that it's impossible to answer "How much is enough?" questions like these in a vacuum. As such, I responded with a few questions of my own:
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