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!
✔ Author(s): Bill Schmarzo,Dr. Kirk Borne
✔ Title: The Economics of Data, Analytics, and Digital Transformation: The theorems, laws, and empowerments to guide your organization's digital transformation
✔ Rating : 4.2 out of 5 base on (104 reviews)
✔ ISBN-10: 1800561415
✔ ISBN-13: 9781800561410
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle
Readers' opinions about The Economics of Data, Analytics, and Digital Transformation by Bill Schmarzo
Thea Bell
The world-building in this book was simply phenomenal. I was transported to a different realm and felt like I was part of the characters' journey. The attention to detail made it all so immersive.
Sydney Richardson
I loved the powerful messages hidden within the story. The book tackled important social issues and made me ponder the world we live in. It's a must-read for everyone.
Tasha Cobbett
The author's ability to evoke a wide range of emotions through their words is truly remarkable. I felt like I was on an emotional rollercoaster throughout the entire book.
