Decision Intelligence for Dummies

Langbeschreibung
Learn to use, and not be used by, data to make more insightful decisionsThe 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 companyPerfect 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.
Inhaltsverzeichnis
Introduction 1Part 1: Getting Started with Decision Intelligence 9Chapter 1: Short Takes on Decision Intelligence 11Chapter 2: Mining Data versus Minding the Answer 25Chapter 3: Cryptic Patterns and Wild Guesses 39Chapter 4: The Inverted V Approach 53Part 2: Reaching the Best Possible Decision 67Chapter 5: Shaping a Decision into a Query 69Chapter 6: Mapping a Path Forward 81Chapter 7: Your DI Toolbox 101Part 3: Establishing Reality Checks 115Chapter 8: Taking a Bow: Goodbye, Data Scientists -- Hello, Data Strategists 117Chapter 9: Trusting AI and Tackling Scary Things 131Chapter 10: Meddling Data and Mindful Humans 151Chapter 11: Decisions at Scale 165Chapter 12: Metrics and Measures 179Part 4: Proposing a New Directive 197Chapter 13: The Role of DI in the Idea Economy 199Chapter 14: Seeing How Decision Intelligence Changes Industries and Markets 213Chapter 15: Trickle-Down and Streaming-Up Decisioning 231Chapter 16: Career Makers and Deal-Breakers 251Part 5: The Part of Tens 273Chapter 17: Ten Steps to Setting Up a Smart Decision 275Chapter 18: Bias In, Bias Out (and Other Pitfalls) 285Index 291
Pam Bakeris 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.
ISBN-13:
9781119824848
Veröffentl:
2022
Erscheinungsdatum:
08.02.2022
Seiten:
320
Autor:
Pam Baker
Gewicht:
432 g
Format:
232x185x19 mm
Sprache:
Englisch

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