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to make good decisions with data
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companies need to think about the four
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pillars of decision-driven analytics the
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first one is understanding which
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decisions you're trying to make the
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second one is understanding which
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question you need to ask to understand
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which course of action will be the best
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one the third one is figuring out which
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data you need to rank those courses of
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action and finally is to make the
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decision figuring out what the answer is
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ultimately the key things we want
00:00:26
readers to take from the book is that
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the data and the analytics are not
00:00:31
important in themselves they're just a
00:00:32
means to an end what matters is the
00:00:35
decision that we make
