Book description
Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies.
But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data.
With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap. They present a step-by-step method for integrating technology into decisions that bridge from actions to desired outcomes, with a focus on systems that act in an advisory, human-in-the-loop capacity to decision makers.
This handbook addresses three widespread data-driven decision-making problems:
- How can decision makers use data and technology to ensure desired outcomes?
- How can technology teams communicate effectively with decision makers to maximize the return on their data and technology investments?
- How can organizational decision makers assess and improve their decisions over time?
Publisher resources
Table of contents
- Foreword
- Preface
- 1. Introduction
-
2. Decision Requirements
- Decision Requirements (Phase A): Overview
- Process A1: The Decision Objective Statement
- Decision Objective Statement: Net-Zero Emissions Program Use Case
- Interlude: Convening the Decision Team
- Making Decisions at Multiple Organizational Levels
- Balancing Information, Authority, and Responsibility
- Process A2: Decision Framing
- Formal Process Description: Process A2, Decision Framing
- Try It Yourself: Decision Requirements for a Telecom Use Case
- Conclusion
-
3. Decision Modeling: The Decision Design Process
- The Decision Modeling Phase: Overview
- Decision Elements
- Decisions and Time
- Process B1: Decision Design
- Formal Process Description: Process B1: Decision Design
- Divergent and Convergent Thinking
-
The CDD Elicitation Meeting
- Divergent Thinking: Eliciting Outcomes and Objectives
- Capturing Out-of-Context Decision Elements in a “Parking Lot”
- Convergent Thinking: Refining (“Cleaning Up”) Outcomes and Objectives
- Divergent Thinking: Eliciting Levers
- Convergent Thinking: Refining Levers
- Divergent Thinking: Eliciting Intermediates (Causal Chains)
- Convergent Thinking: Refining Intermediates
- Divergent Thinking: Eliciting Externals
- Convergent Thinking: Refining Externals
- Convergent Thinking: Refining Decision Elements
- Refining and Expanding Your CDD
- Decision Design Use Case: Governmental Net-Zero Project
- Try It Yourself: Decision Design for a Telecom Use Case
- Conclusion
-
4. Decision Modeling: The Decision Asset Investigation Process
- Deciding to Go Digital
- Introduction to Process B2: Decision Asset Investigation
- Formal Process Description: Process B2: Decision Asset Investigation
- Decision Asset Investigation: A Sweet Potato CDD Drives Data Gathering and Research
- Data for Externals
- The Puzzle Toy Use Case: The Decision Asset Conversation
- Try It Yourself: Decision Asset Investigation for the Telecom Use Case
- Conclusion
-
5. Decision Reasoning: The Decision Simulation Process
- Decision Reasoning: Phase Overview
- Decision Simulation Process Overview
- Formal Process Description: Decision Simulation
- Creating a Decision Simulation
- Net-Zero Emissions Use Case: Simulating the Decision Model
- Visualizing Emergent Patterns in the Puzzle Toy Use Case Simulation
- Try It Yourself: Decision Simulation for the Telecom Use Case
- Conclusion
- 6. Decision Reasoning: The Decision Assessment Process
- 7. Decision Action
-
8. Decision Review
- The Decision Review Phase: Overview
- Process E1: Decision Artifacts Retention
- Formal Process Description: Process E1, Decision Artifacts Retention
- Try It Yourself: Decision Artifacts Retention for the Telecom Use Case
- Process E2: Decision Retrospective
- Formal Process Description: Process E2, Decision Retrospective
- Conclusion
- Appendix. Framework for How Data Informs Decisions
- Index
- About the Authors
Product information
- Title: The Decision Intelligence Handbook
- Author(s):
- Release date: June 2023
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781098139650
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