33,95 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
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.
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.
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.
Part 1: Getting Started with Decision Intelligence 9
Chapter 1: Short Takes on Decision Intelligence 11
Chapter 2: Mining Data versus Minding the Answer 25
Chapter 3: Cryptic Patterns and Wild Guesses 39
Chapter 4: The Inverted V Approach 53
Part 2: Reaching the Best Possible Decision 67
Chapter 5: Shaping a Decision into a Query 69
Chapter 6: Mapping a Path Forward 81
Chapter 7: Your DI Toolbox 101
Part 3: Establishing Reality Checks 115
Chapter 8: Taking a Bow: Goodbye, Data Scientists -- Hello, Data Strategists 117
Chapter 9: Trusting AI and Tackling Scary Things 131
Chapter 10: Meddling Data and Mindful Humans 151
Chapter 11: Decisions at Scale 165
Chapter 12: Metrics and Measures 179
Part 4: Proposing a New Directive 197
Chapter 13: The Role of DI in the Idea Economy 199
Chapter 14: Seeing How Decision Intelligence Changes Industries and Markets 213
Chapter 15: Trickle-Down and Streaming-Up Decisioning 231
Chapter 16: Career Makers and Deal-Breakers 251
Part 5: The Part of Tens 273
Chapter 17: Ten Steps to Setting Up a Smart Decision 275
Chapter 18: Bias In, Bias Out (and Other Pitfalls) 285
Index 291
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 320 |
| Inhalt: | 320 S. |
| ISBN-13: | 9781119824848 |
| ISBN-10: | 1119824842 |
| Sprache: | Englisch |
| Herstellernummer: | 1W119824840 |
| Einband: | Kartoniert / Broschiert |
| Autor: | Baker, Pam |
| Hersteller: | Wiley |
| Maße: | 232 x 185 x 19 mm |
| Von/Mit: | Pam Baker |
| Erscheinungsdatum: | 08.02.2022 |
| Gewicht: | 0,432 kg |
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.
Part 1: Getting Started with Decision Intelligence 9
Chapter 1: Short Takes on Decision Intelligence 11
Chapter 2: Mining Data versus Minding the Answer 25
Chapter 3: Cryptic Patterns and Wild Guesses 39
Chapter 4: The Inverted V Approach 53
Part 2: Reaching the Best Possible Decision 67
Chapter 5: Shaping a Decision into a Query 69
Chapter 6: Mapping a Path Forward 81
Chapter 7: Your DI Toolbox 101
Part 3: Establishing Reality Checks 115
Chapter 8: Taking a Bow: Goodbye, Data Scientists -- Hello, Data Strategists 117
Chapter 9: Trusting AI and Tackling Scary Things 131
Chapter 10: Meddling Data and Mindful Humans 151
Chapter 11: Decisions at Scale 165
Chapter 12: Metrics and Measures 179
Part 4: Proposing a New Directive 197
Chapter 13: The Role of DI in the Idea Economy 199
Chapter 14: Seeing How Decision Intelligence Changes Industries and Markets 213
Chapter 15: Trickle-Down and Streaming-Up Decisioning 231
Chapter 16: Career Makers and Deal-Breakers 251
Part 5: The Part of Tens 273
Chapter 17: Ten Steps to Setting Up a Smart Decision 275
Chapter 18: Bias In, Bias Out (and Other Pitfalls) 285
Index 291
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 320 |
| Inhalt: | 320 S. |
| ISBN-13: | 9781119824848 |
| ISBN-10: | 1119824842 |
| Sprache: | Englisch |
| Herstellernummer: | 1W119824840 |
| Einband: | Kartoniert / Broschiert |
| Autor: | Baker, Pam |
| Hersteller: | Wiley |
| Maße: | 232 x 185 x 19 mm |
| Von/Mit: | Pam Baker |
| Erscheinungsdatum: | 08.02.2022 |
| Gewicht: | 0,432 kg |
Ähnliche Produkte
Lieferzeit 1-2 Werktage
Lieferzeit 4-7 Werktage
Lieferzeit 2-3 Wochen
Lieferzeit 1-2 Werktage