Am höchsten bewertete positive Rezension
7 Personen fanden diese Informationen hilfreich
Explaining New Possibilities Presented Today by Crunching and Reusing Data
am 29. Mai 2013
"For in much wisdom is much grief,
And he who increases knowledge increases sorrow." -- Ecclesiastes 1:18 (NKJV)
I believe that your reaction to this book depends totally on whether you already crunch and reuse all available data. If you do, it's old news. If you don't, you may feel that the floor has been tilted a bit in favor of those who have and know how to use the data. In the latter case, first appreciating that data-driven learning can be more valuable than theory-testing learning can be quite an eye-opener. You may not agree. Sometimes you should and sometimes you shouldn't.
If you aren't a data jock, the book has accessible examples and anecdotes that you will probably understand just fine. If you are a data jock, the content may seem, well, "Elementary, my dear Dr. Watson."
I thought the most interesting parts related to how privacy might be protected against unanticipated invasions by those who are incautious in plowing ahead without considering who will get hurt and how.
The case for not needing to know cause-and-effect is greatly overstated here. One of the best potential uses of data-driven analysis is identifying what combinations of changes may work best with one another in a new business model, an improved strategy, or an upgraded business process. If you don't understand cause-and-effect in seeking to make such improvements, you'll make a big mess most of the time. That's also true in other complex environments, such as many medical ones. The benefits of one such cause-and-effect based improvement will usually run rings around the kind of incremental enhancements described in this book from acting on merely data-driven conclusions.
I've graded the book for its value to someone who is new to the subject.