The Economics of Data, Analytics, and Digital Transformation

The theorems, laws, and empowerments to guide your organization's digital transformation



Bookstore > Books > The Economics of Data, Analytics, and Digital Transformation

Price$29.99 - $40.94
Rating
AuthorBill Schmarzo
PublisherPackt Publishing
Published2020
Pages252
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101800561415
ISBN-139781800561410
EBook Hardcover Paperback

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.




4 5 8

Similar Books


The Economics of Cloud Computing

The Economics of Cloud Computing

by Bill Williams

This concise book delivers the insight and tools you need to make intelligent decisions about cloud computing and effectively manage the transition to this new paradigm. Bill Williams explains how cloud computing platforms are transforming business IT and helps you fully understand the economies of scale and other benefits associated with...

Price:  $15.99  |  Publisher:  Cisco Press  |  Release:  2012

Building a Recommendation System with R

Building a Recommendation System with R

by Suresh K. Gorakala, Michele Usuelli

A recommendation system performs extensive data analysis in order to generate suggestions to its users about what might interest them. R has recently become one of the most popular programming languages for the data analysis. Its structure allows you to interactively explore the data and its modules contain the most cutting-edge technique...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2015

Big Data Analytics with R and Hadoop

Big Data Analytics with R and Hadoop

by Vignesh Prajapati

Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations, and other useful information. Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue. New...

Price:  $5.77  |  Publisher:  Packt Publishing  |  Release:  2013

Analyzing the Analyzers

Analyzing the Analyzers

by Harlan Harris, Sean Murphy, Marck Vaisman

There has been intense excitement in recent years around activities labeled "data science," "big data," and "analytics." However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication...

Price:  $9.99  |  Publisher:  O'Reilly Media  |  Release:  2013

Next Generation Databases: NoSQL, NewSQL, and Big Data

Next Generation Databases: NoSQL, NewSQL, and Big Data

by Guy Harrison

This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex dec...

Price:  $30.80  |  Publisher:  Apress  |  Release:  2016

R for Data Science

R for Data Science

by Dan Toomey

R is a powerful, open source, functional programming language. It can be used for a wide range of programming tasks and is best suited to produce data and visual analytics through customizable scripts and commands.The purpose of the book is to explore the core topics that data scientists are interested in. This book draws from a wide vari...

Price:  $30.99  |  Publisher:  Packt Publishing  |  Release:  2014

Hands-On Data Structures and Algorithms with Python, 3rd Edition

Hands-On Data Structures and Algorithms with Python, 3rd Edition

by Dr. Basant Agarwal

Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications....

Price:  $44.16  |  Publisher:  Packt Publishing  |  Release:  2022

The Art of the App Store

The Art of the App Store

by Tyson McCann

It takes more than a great idea to succeed at iPhone and iPad app development.This indispensible guide provides an in-depth look into the perils and potential of the iPhone and iPad app landscape. The Art of the App Store presents tried and tested methods for competitive research, findingyour niche, understanding customer expectations, se...

Price:  $5.99  |  Publisher:  Wrox  |  Release:  2011