The Economics of Data,Analytics,and Digital Transformation: The theorems,laws,and empowerments to guide your organization’s digital transformation
by: Bill Schmarzo and Kirk Borne
Print Length 页数: 252 pages
ISBN-10: 1800561415
ISBN-13: 9781800561410
Publisher finelybook 出版社: Packt Publishing (November 30,2020)
Language 语言: English
Book Description
By finelybook
Build a continuously learning and adapting organization that can extract increasing levels of business,customer and operational value from the amalgamation of data and advanced analytics such as AI and Machine Learning
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.
What you will learn
Train your organization to transition from being data-driven to being value-driven
Navigate and master the big data business model maturity index
Learn a methodology for determining the economic value of your data and analytics
Understand how AI and machine learning can create analytics assets that appreciate in value the more that they are used
Become aware of digital transformation misconceptions and pitfalls
Create empowered and dynamic teams that fuel your organization’s digital transformation
