1st Edition

Evidence-Based Decision-Making How to Leverage Available Data and Avoid Cognitive Biases

By Andrew D. Banasiewicz Copyright 2019
282 Pages
by Routledge

282 Pages
by Routledge

282 Pages
by Routledge

Evidence-Based Decision-Making: How to Leverage Available Data and Avoid Cognitive Biases examines how a wide range of factual evidence, primarily derived from a variety of data available to organizations, can be used to improve the quality of business decision-making, by helping decision makers circumvent the various cognitive biases that adversely impact how we all think. The book is built... Read more

Part I: Decision-Making Challenges

Chapter 1: Subjective Evaluations

Thinking and Games

Mind vs. Machine

Learning and Remembering

The Decision-Making Brain

Chapter 2: Non-Generalizable Objectivity

Familiar Clues

Anecdotal Evidence

Best Practices & Benchmarks

Non-Representative Samples

Chapter 3: Mass Analytics

Digitization of Life

Data as the New Normal

Data in Organizations

The Analytics Industry

Part II: Evidence-Based Practice

Chapter 4: Evidence-Based Movement

The Practice and Science of Management

Evidence-Based Practice

The Road Ahead

Chapter 5: The Essence of Evidence

What is Evidence?

Empirical Evidence

Research Evidence

Experiential Evidence

Internalizing Evidence

Part III: The Empirical & Experiential Evidence Framework

Chapter 6: Probabilistic Thinking

Decision Uncertainty

Evidence Pooling

Cross-Type Amalgamation

Chapter 7: The 3E Framework

Organizational Decision-Making

The Empirical & Experiential Evidence Framework

Insight Extraction

Believability of Evidence

Chapter 8: Sourcing & Assessing: Operational Data

Data, Research, and Decision-Making

Probabilistic Analyses of Organizational Data

Operational Data and Databases

Getting Started with Operational Data

Exploring Operational Data

Exploratory Data Analysis

Confirmatory Data Analysis

Chapter 9: Sourcing & Assessing: Research, Norms, and Judgment

Thematic Analyses of Empirical Research

Summarizing Norms & Standards

Pooling Expert Judgment

Part IV: Evidence-Based Decision-Making in Organizations

Chapter 10: Internal Design & Dynamics

Organizations as Human Collectives

Business Organizations

Organizations and Decision-Making

The 3E Framework & Organizational Dynamics

Chapter 11: External Forces & Influences

External Forces

Non-Systematic Influences

Biography

Dr. Andrew D. Banasiewicz is the director of data science and analytics programs at Merrimack College, a professor of business analytics at Cambridge College, and the founder of Erudite Analytics, a data analytical consultancy focused on risk assessment.