In conversations about how to use data to create value, one common question is “Where do you start?”
Often times, people think that it’s necessary to start on day 1 by deploying some complex algorithm with a name that sounds really technical. Not only do I not suggest that approach, I happen to think that it's a horrible idea.
I start all of my data efforts with a series of questions about the field I’m working in at the time. What’s happened to date? What efforts will move the needle?
What are the main things the organization can change to improve the operation? In my experience, data work initiated without a specific question in mind leads to technology without an immediate real-world practical use.
What are the main things the organization can change to improve the operation? In my experience, data work initiated without a specific question in mind leads to technology without an immediate real-world practical use.
To Quote Albert Einstein, Things should be as simple as possible, but no simpler.
Photograph by Oren Jack Turner, Princeton, N.J. Modified with Photoshop by PM_Poon and later by Dantadd. [Public domain], via Wikimedia Commons
Securing personal information up front is far less expensive than cleaning up the mess after the fact. The cost of responding to a data breach is 15 times the cost of encrypting the data in the first place.
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