The the economics of data, analytics, and digital transformation : the theorems, laws, and empowerments to guide your organization's digital transformation.

By:

Schmarzo, Bill

Contributor(s):

Borne, Kirk

Material type: Text

TextLanguage: English Publication details: Birmingham : Packt Publishing, Limited, 2020.Description: 253 p.ISBN:

9781800561410

Subject(s):

Additional physical formats: Print version:: The the Economics of Data, Analytics, and Digital Transformation : The Theorems, Laws, and Empowerments to Guide Your Organization's Digital TransformationDDC classification:

658.4038 23

LOC classification:

HD30.2 .S36 2020

Summary: 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. Who this book is for: This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.

Holdings ( 1 )
Title notes ( 1 )

Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	TBS Barcelona	HD30.2 SCH (Browse shelf(Opens below))	Available		B04489

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Previous	HD30.2 KAN The technology fallacy : how people are the real key to digital transformation	HD30.2 SAL Why digital transformations fail : the surprising disciplines of how to take off and stay ahead	HD30.2 SAL Why digital transformations fail : the surprising disciplines of how to take off and stay ahead	HD30.2 SCH The the economics of data, analytics, and digital transformation : the theorems, laws, and empowerments to guide your organization's digital transformation.	HD30.2 VAZ Digital business transformation : how established companies sustain competitive advantage from now to next	HD30.213 BOR Driving digital transformation through data and AI	HD30.213 BOR Driving digital transformation through data and AI	Next

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.
Who this book is for:
This book is designed to benefit everyone from students who aspire to study the economic fundamentals behind data and digital transformation to established business leaders and professionals who want to learn how to leverage data and analytics to accelerate their business careers.