Dark data : why what you don't know matters / David J. Hand.

Format:

Book

Author/Creator:

Hand, D. J. (David J.), 1950- Author.

Language:

English

Subjects (All):

Big data.

Missing observations (Statistics).

Physical Description:

1 online resource (330 pages)

Place of Publication:

Princeton, NJ : Princeton University Press, [2020]

Language Note:

In English.

Summary:

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

Contents:

Frontmatter

CONTENTS

Preface

CHAPTER 1: Dark Data: What We Don’t See Shapes Our World

CHAPTER 2: Discovering Dark Data: What We Collect and What We Don’t

CHAPTER 3: Definitions and Dark Data: What Do You Want to Know?

CHAPTER 4: Unintentional Dark Data: Saying One Thing, Doing Another

CHAPTER 5: Strategic Dark Data: Gaming, Feedback, and Information Asymmetry

CHAPTER 6: Intentional Dark Data: Fraud and Deception

CHAPTER 7: Science and Dark Data: The Nature of Discovery

CHAPTER 8: Dealing with Dark Data: Shining a Light

CHAPTER 9: Benefiting from Dark Data: Reframing the Question

CHAPTER 10: Classifying Dark Data: A Route through the Maze

Notes

Index

Notes:

Includes index.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 24. Apr 2020)

ISBN:

0-691-19885-3

OCLC:

1114272857