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From the Publisher
Bill Schmarzo, The Dean of Big Data
Key Features:
- Master the Big Data Business Model Maturity Index methodology
- Acquire implementable knowledge on the 8 laws of digital transformation
- Explore the economics behind digital assets, data, and analytics
What are the key takeaways from The Economics of Data, Analytics, and Digital Transformation?
This book frames the big data problem from a business perspective. It focuses on how important economic concepts can help organizations exploit the new economic assets of data and analytics to fuel economic growth – assets that actually appreciate, not depreciate, in value the more that they are used.
It details the importance of value engineering – the ability to identify where and how data and analytics will provide value in support of an organization’s most important use cases.
Key Takeaways:
- The economics of data and analytics are game changers
- Data is an asset that never depletes and can be used across an unlimited number of use cases at zero marginal cost
- Digital transformation can empower front-line employees of an organization
How does your book differ from other books on digital transformation and big data?
I wanted to write a hands-on, pragmatic textbook to educate both students and executives who wanted to understand how to exploit the unique economic characteristics of data and analytics to create new sources of customer, product, and operational value. This book is not meant to sit on someone’s shelf but to be dog-eared and covered in post-it notes as people apply the concepts in the book to their everyday jobs!
Another area I wanted to address with the book was that most organizations lack a methodology for determining the economic value of their data and analytics.
Consequently, I wanted to write a book to help organizations master the mechanics of data monetization by introducing a value engineering methodology. I want to teach organizations how to embrace a systematic approach to build out their data and analytic economic assets one use case at a time.
The reason this book is timely is because in knowledge-based industries, the ‘economies of learning’ are more powerful than the ‘economies of scale’. And soon, every industry will be a knowledge-based industry.
Table of Contents:
- The CEO Mandate: Become Value-driven, Not Data-driven
- Value Engineering: The Secret Sauce for Data Science Success
- A Review of Basic Economic Concepts
- The Economic Value of Data Theorems
- The Economics of Artificial Intelligence
- The Schmarzo Economic Digital Asset Valuation Theorem
- Creating a Culture of Innovation Through Empowerment
- ...And more!
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Top reviews from the United States
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Reviewed in the United States 🇺🇸 on April 14, 2021
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Top reviews from other countries
desifilms
Informative and good read
Reviewed in the United Kingdom 🇬🇧 on June 29, 2021Nicole
An Insightful and Inspiring Guide
Reviewed in Canada 🇨🇦 on August 3, 2021
Nicole
Reviewed in Canada 🇨🇦 on August 3, 2021
Despite each chapter being capable of enough content to fill their own book, respectively, Bill lays it out in a detailed, yet 'overview' styled format to ensure it is not just a reference point for one particular role or personality, whilst allowing the full 360 vision of it all to be clearly evident and attainable.
From C-Suite to various technology-based roles and beyond, the book summarizes the concept in a concise and clear way so that it can be consumed by anyone without getting too bogged down with technical jargon.
My favorite chapter is: Creating a Culture of Innovation through Empowerment, where it lists 5 subcategories, with Number 5 (Embrace Critical thinking) as that which I found most insightful.
A guide, a manual and so much more than a one-time read, I recommend this book to anyone who has a passion for Big Data, Analytics, Digital Transformation and it's overall potential for subsequent monetization.
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Daniel
This book is for you if you are want to transform your business and help your organization to change
Reviewed in Germany 🇩🇪 on September 14, 2021
