Book Image

The Economics of Data, Analytics, and Digital Transformation

By : Bill Schmarzo
5 (2)
Book Image

The Economics of Data, Analytics, and Digital Transformation

5 (2)
By: Bill Schmarzo

Overview of this book

In today’s digital era, every organization has data, but just possessing enormous amounts of data is not a sufficient market discriminator. The Economics of Data, Analytics, and Digital Transformation aims to provide actionable insights into the real market discriminators, including an organization’s data-fueled analytics products that inspire innovation, deliver insights, help make practical decisions, generate value, and produce mission success for the enterprise. The book begins by first building your mindset to be value-driven and introducing the Big Data Business Model Maturity Index, its maturity index phases, and how to navigate the index. You will explore value engineering, where you will learn how to identify key business initiatives, stakeholders, advanced analytics, data sources, and instrumentation strategies that are essential to data science success. The book will help you accelerate and optimize your company’s operations through AI and machine learning. By the end of the book, you will have the tools and techniques to drive your organization’s digital transformation. Here are a few words from Dr. Kirk Borne, Data Scientist and Executive Advisor at Booz Allen Hamilton, about the book: "Data analytics should first and foremost be about action and value. Consequently, the great value of this book is that it seeks to be actionable. It offers a dynamic progression of purpose-driven ignition points that you can act upon."
Table of Contents (14 chapters)
10
Other Books You May Enjoy
11
Index
Appendix A: My Most Popular Economics of Data, Analytics, and Digital Transformation Infographics

DX Law #6: It's About AI-driven Autonomous Operations and Policies

AI can enable more granular, relevant operational and policy decisions by continuously learning and adapting based upon most current environment situations…with minimal human intervention.

Policies are the foundation for any successful organization. They document the organizational principles, best practices, and compliance guidelines that aid decision-making in supporting the consistent and repeatable operations of the business. But most organization's policies are static, documented like a series of static if-then rules that are difficult to manage and even more difficult to update based upon changing business, economic, societal, cultural, and environmental conditions.

What if organizations could replace those static if-then types of policies with AI-based, continuously learning and adapting algorithms that learned and evolved based upon the constantly evolving state of the environment in...