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Decision Intelligence For Dummies
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Decision Intelligence For Dummies

$4.00

Format

PDF

Publisher

Wiley

ISBN-10

1119824842

ISBN-13

978-1119824848

Pages

320

Language

English

Edition

1st edition | January 21, 2022

File Size

7 MB

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$30

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ISBN: 978-1119824848 SKU: EB1352 Category: Computer Science Tags: AI, Artificial Intelligence, Computer Science, Decision Intelligence, Decision Intelligence For Dummies, Dummies
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Description

Decision Intelligence For Dummies

Decision Intelligence For Dummies 1st Edition:

Learn to use, and not be used by, data to make more insightful decisions 

The availability of data and various forms of AI unlock countless possibilities for business decision makers. But what do you do when you feel pressured to cede your position in the decision-making process altogether?

Decision Intelligence For Dummies pumps the brakes on the growing trend to take human beings out of the decision loop and walks you through the best way to make data-informed but human-driven decisions. The book shows you how to achieve maximum flexibility by using every available resource, and not just raw data, to make the most insightful decisions possible.

In this timely book, you’ll learn to:

  • Make data a means to an end, rather than an end in itself, by expanding your decision-making inquiries
  • Find a new path to solid decisions that includes, but isn’t dominated, by quantitative data
  • Measure the results of your new framework to prove its effectiveness and efficiency and expand it to a whole team or company

Perfect for business leaders in technology and finance, Decision Intelligence For Dummies is ideal for anyone who recognizes that data is not the only powerful tool in your decision-making toolbox. This book shows you how to be guided, and not ruled, by the data.


Additional ISBNs:

∗ eText ISBN: 978-1119824862, 9781119824862

Table of Contents

About the Author

Pamela Baker

Pam Baker is a veteran business analyst and journalist whose work is focused on big data, artificial intelligence, machine learning, business intelligence, and data analysis. She is the author of Data Divination – Big Data Strategies.

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