April 9, 2015

Which analytic technology problems are important to solve for whom?

I hear much discussion of shortfalls in analytic technology, especially from companies that want to fill in the gaps. But how much do these gaps actually matter? In many cases, that depends on what the analytic technology is being used for. So let’s think about some different kinds of analytic task, and where they each might most stress today’s available technology.

In separating out the task areas, I’ll focus first on the spectrum “To what extent is this supposed to produce novel insights?” and second on the dimension “To what extent is this supposed to be integrated into a production/operational system?” Issues of latency, algorithmic novelty, etc. can follow after those. In particular, let’s consider the tasks:

And finally — across multiple kinds of user group and use case, there are some applications that will only be possible when sensors or other data sources improve.

Bottom line: Almost every interesting analytic technology problem is worth solving for some market, but please be careful about finding the right match.

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Comments

One Response to “Which analytic technology problems are important to solve for whom?”

  1. Chris W on May 21st, 2015 6:40 pm

    Curt,

    I just want to say I really enjoy and appreciate everything you write and share. It’s fascinating and very helpful.

    Sincerely,
    Chris

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