The book Analytics for Business Success by Hema Seshadri, Ph.D. is available globally via Amazon and regional retailers https://a.co/d/gIcLoIZ
Below you can link to the synopsis
Analytics for Business Success: A Guide to Analytics Fitness™ identifies the critical factors required for the successful development and operationalization of analytics products in the business environment. The author analyzes the blend of technological capabilities and infrastructure, human capital, expertise, strategy, processes, and organizational culture characteristics that fuel organizational analytics transformations.
- 1. Introduction
Chapter I discusses the ubiquity of data in today’s business environment and companies’ adoption of increasingly sophisticated data and analytics capabilities to boost their competitiveness. Despite the tremendous power of analytics when used in business, the majority of corporate analytics projects fail. This book discusses why this is so and what companies can do to maximize their likelihood of success.
2. Why Link Analytics and Business?
Chapter II examines what analytics offers business leaders and managers. It defines analytics, details each of the three major analytics categories—descriptive, predictive, and prescriptive—and outlines the increasingly sophisticated insights companies can glean as they move up the analytics ladder.
3. Analytics Fitness™
Chapter III presents the five levels of the Analytics Fitness Framework,™ using tables and analysis to elucidate the attributes of organizations at each level and how those attributes impact a company’s likelihood of successfully accomplishing an analytics project.
4. The Analytics TriadTM: Goals, Metrics, and Data & Analytics Strategy
Chapter IV discusses the indispensable importance of having a good analytics strategy based on organizational goals and well-framed business problems. It also covers the nuts and bolts analytics strategy, including who sets it, what business questions it will address, what data is to be collected, how it is to be collected, and how that data will be stored, managed, and analyzed.
5. Linking Analytics to Business: Roles, Expertise and Organizational Culture
Chapter V looks at the human element in analytics product development, including the roles and responsibilities of the key personnel involved in organizational analytics efforts, from the data governance team to the all-important analytics engineer. The author discusses the growth of data science as a discipline and how organizations can maximize the value of the advanced analytics engineers they hire.
6. Managing Data for Transformational Analytics
Chapter VI examines the evolution of data storage, management, and processing technologies, from relational databases and first-generation enterprise data warehouses to newer, decentralized solutions like data fabric and data mesh.
7. The Analytics Product Life Cycle™
Chapter VII discusses the Analytics Product Life Cycle™ (APLC), breaking the process of analytics product development and operationalization into four discrete stages and corresponding domain quadrants—business, data engineering, modeling, and software engineering—each of which involves its own specific set of tasks.
8. Prototype to Analytics Product
Chapter VIII takes a closeup look at the final quadrant in the APLC: the operationalization phase, in which the analytics model leaves the “labs” of the advanced analytics team and is turned into a robust analytics product. In this phase, the model is fine-tuned, tested, updated, enmeshed in existing organizational workflows, and then made accessible to the organization’s general user population through dashboards
9. Your Analytics Journey
Chapter IX pulls together the lessons learned over the course of the book and revisits the fundamental concepts that are critical for organizations that want to start their analytics journey on the right foot, chart a productive course, anticipate and avoid roadblocks, and overcome unforeseen challenges.
Appendix A: Miner’s Tales
Appendix A contains a bonus compilation of insights from D&A practitioners with extensive experience leading advanced analytics initiatives in the manufacturing, pharmaceutical, HealthTech, and insurance sectors. Each contributor discusses an aspect of data analytics and its impact in the business environment:
● Data Literacy by Stephen Gatchell
● Patient Engagement in Pharma by Brahma Tangella
● Beware the Policy Vacuum: Healthcare Analytics by Amanda Lord, Raymond Jorgensen and Collin Barry
● The Emerging Role of Predictive Analytics in Insurance by Srinivasan Sankar
Appendix B: Analytics Glossary
Appendix C: About the Authors
Book Blurb: https://dataworksai.com/?page_id=27
Book Reviews:https://dataworksai.com/?page_id=396
Author Biography: https://dataworksai.com/?page_id=9