Weaving Analytics for Effective Decision Making By Arindam Banerjee
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Weaving Analytics for Effective Decision Making helps managers unleash the power of analytics. It provides a roadmap for implementing analytics and securing a high return on investment for the organization. The book is meant primarily for decision makers, business leaders and business problem solvers who are engaged in decision-making roles in organizations. Several books have established the need for analytics in decision making; this book moves one step ahead and explains how managers can maximize the benefits of analytics in organizations. It spells out the sequence business managers should adopt towards building business intelligence-driven organizations.
Practicing analysts will also find this book helpful in redirecting their focus from the technical aspects of analytics towards a business orientation whereby they can focus on the value addition that analytical outputs provide to support decision making. The book will guide them to tailor their analytics towards creating business value and showcasing the same.
Part 1: An Approach to Build Analytics Capability to Solve Business Problems
Introduction: The Practice of Analytics and the Associated “Conundrum”
Where to Begin: Managing Organization’s Data Inventory for Effective Decision Support
Useful Approaches to Mining Information: Building Intuition of Tool
Resolving Business Problems with (Predictive Analytics): Scoping the Objectives
Communicating Analytical Output: Numbers to Narratives
From Analysis to Analytics: Building the Infrastructure
Part 2: The Analytic 'State of Affairs'
Perspectives on Knowledge Process Adoption in Emerging Economies
Appendix 1 Railroad Cleaning Service (Case) Appendix 2 ABV Tyre Company (Case) Appendix 3 Marketing Mix Modelling Appendix 3A Note on Regression Models Appendix 4 Logit Modelling: A Note Appendix 5 Interview Guide for Our Industry Research Appendix 6 Select Cases of Analytics Adoption in Indian Organizations
Practicing analysts will also find this book helpful in redirecting their focus from the technical aspects of analytics towards a business orientation whereby they can focus on the value addition that analytical outputs provide to support decision making. The book will guide them to tailor their analytics towards creating business value and showcasing the same.
Part 1: An Approach to Build Analytics Capability to Solve Business Problems
Introduction: The Practice of Analytics and the Associated “Conundrum”
Where to Begin: Managing Organization’s Data Inventory for Effective Decision Support
Useful Approaches to Mining Information: Building Intuition of Tool
Resolving Business Problems with (Predictive Analytics): Scoping the Objectives
Communicating Analytical Output: Numbers to Narratives
From Analysis to Analytics: Building the Infrastructure
Part 2: The Analytic 'State of Affairs'
Perspectives on Knowledge Process Adoption in Emerging Economies
Appendix 1 Railroad Cleaning Service (Case) Appendix 2 ABV Tyre Company (Case) Appendix 3 Marketing Mix Modelling Appendix 3A Note on Regression Models Appendix 4 Logit Modelling: A Note Appendix 5 Interview Guide for Our Industry Research Appendix 6 Select Cases of Analytics Adoption in Indian Organizations
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