Analytics by Phil Simon

Author:Phil Simon
Language: eng
Format: epub
ISBN: 9781119424192
Publisher: Wiley
Published: 2017-06-12T14:30:00+00:00

At this point, it’s wise to remember Douglas Hofstadter’s wonderfully recursive law: “It always takes longer than you expect, even when you take into account Hofstadter’s Law.”* Avoid committing to overly aggressive timelines for analytics. Remember that perfect is the enemy of good.

Also, know going in that it’s unlikely that you’ll solve your problem via a single data source, no matter how robust or promising it is. Start with what you know, but expect surprises. If a finding doesn’t surprise you at some point, then you’re probably not looking hard enough. Recognize that you’re never going to get all the desired data.

Finally, it’s wise at this point to digest the data that you have unearthed for a little while. Remember spikes (which are discussed in Chapter 5). Yes, you can always restart your efforts, but you won’t recoup the time. Agile methods such as Scrum don’t include time machines.

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