November 2020
Beginner to intermediate
260 pages
4h 38m
English
Overview
In 'The Economics of Data, Analytics, and Digital Transformation,' author Bill Schmarzo guides readers through the essential principles required to harness data and analytics for organizational growth and value. Readers will learn how to approach digital transformation with a focus on generating economic value, enhancing innovation, and empowering teams to drive results.
What this Book will help me do
- Understand the transition from a data-driven to a value-driven organizational approach.
- Master the Big Data Business Model Maturity Index to support organizational development.
- Learn to calculate the economic value of data and analytics assets.
- Gain insight into the role of AI and machine learning in creating appreciating assets through analytics.
- Explore methods to avoid common pitfalls in digital transformations.
Author(s)
Bill Schmarzo, an esteemed data science and analytics leader, has extensive experience guiding organizations in adopting value-driven analytics strategies. Drawing on years of professional practice, Bill's approach to writing prioritizes actionable insights and practical methodologies that empower organizations to succeed in their digital transformation journey.
Who is it for?
This book is ideal for business leaders, data professionals, and students eager to understand the economic impact of data and analytics. It is well-suited for readers with an interest in digital transformation, regardless of their prior experience with the subject. It provides both foundational knowledge and advanced strategies, ensuring value for professionals and learners at any stage in their careers.
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