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    Inhaltsangabe

    A practical guide to making good decisions in a world of missing data

    In the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the iceberg. Just as much of the universe is composed of dark matter, invisible to us but nonetheless present, the universe of information is full of dark data that we overlook at our peril. In Dark Data, data expert David Hand takes us on a fascinating and enlightening journey into the world of the data we don't see. 

    Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them. In doing so, he teaches us not only to be alert to the problems presented by the things we don’t know, but also shows how dark data can be used to our advantage, leading to greater understanding and better decisions.

    Today, we all make decisions using data. Dark Data shows us all how to reduce the risk of making bad ones.

    ©2020 David J. Hand (P)2020 Princeton University Press

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    • 22.06.2020

    Important for anyone working with data analysis

    This book is written by a renown statistician who has become a popularizer. (Another very good one is David Spiegelhalter).
    It should be read by anyone who calls herself data scientist, or who leads a data analytics team. It warms with several examples and a useful taxonomy of the errors you can make, if you don't know how your data was generated. Five stars.

    1 Person fand das hilfreich