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Decision intelligence for dummies / by Pam Baker

By: Material type: TextTextSeries: --For dummiesPublisher: Hoboken, New Jersey : John Wiley & Sons, [2022]Description: x, 306 pages : illustrationsContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781119824848
Subject(s): DDC classification:
  • 658.403
Contents:
Part 1. Getting started with decision intelligence
Chapter 1. Short takes on decision intelligence
Chapter 2. Mining data versus minding the answer
Chapter 3. Cryptic patterns and wild guesses
Chapter 4. The inverted V approach
Part 2. Reaching the best possible decision
Chapter 5. Shaping a decision into a query
Chapter 6. Mapping a path forward
Chapter 7. Your DI toolbox
Part 3. Establishing reality checks
Chapter 8. Taking a bow : goodbye, data scientists — hello, data strategists
Chapter 9. Trusting AI and tackling scary things
Chapter 10. Meddling data and mindful humans
Chapter 11. Decisions at scale
Chapter 12. Metrics and measures
Part 4. Proposing a new directive
Chapter 13. The role of DI in the idea economy
Chapter 14. Seeing how decision intelligence changes industries and markets
Chapter 15. Trickle-down and streaming-up decisioning
Chapter 16. Career makers and deal-breakers
Part 5. The parts of tens
Chapter 17. Ten steps to setting up a smart decision
Chapter 18. Bias in, bias out (and other pitfalls)
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Holdings
Item type Current library Collection Call number Copy number Status Barcode
Book Book Lagro Branch Reference Section Reference R 658.403 B168d 2022 (Browse shelf(Opens below)) c. 3 Room use only 57873QC
Book Book Main Library Reference Section Reference R 658.403 B168d 2022 (Browse shelf(Opens below)) c. 1 Room use only 57871QC
Book Book MRB Commonwealth Branch Reference Section Reference R 658.403 B168d 2022 (Browse shelf(Opens below)) c. 4 Room use only 57874QC

Includes index.

Part 1. Getting started with decision intelligence

Chapter 1. Short takes on decision intelligence

Chapter 2. Mining data versus minding the answer

Chapter 3. Cryptic patterns and wild guesses

Chapter 4. The inverted V approach

Part 2. Reaching the best possible decision

Chapter 5. Shaping a decision into a query

Chapter 6. Mapping a path forward

Chapter 7. Your DI toolbox

Part 3. Establishing reality checks

Chapter 8. Taking a bow : goodbye, data scientists — hello, data strategists

Chapter 9. Trusting AI and tackling scary things

Chapter 10. Meddling data and mindful humans

Chapter 11. Decisions at scale

Chapter 12. Metrics and measures

Part 4. Proposing a new directive

Chapter 13. The role of DI in the idea economy

Chapter 14. Seeing how decision intelligence changes industries and markets

Chapter 15. Trickle-down and streaming-up decisioning

Chapter 16. Career makers and deal-breakers

Part 5. The parts of tens

Chapter 17. Ten steps to setting up a smart decision

Chapter 18. Bias in, bias out (and other pitfalls)

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