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Data Strategy

Data Strategy

How to Profit from a World of Big Data, Analytics and the Internet of Things

Bernard Marr


Explains how to profit from an effective data strategy in a world of Big Data, Analytics and the Internet of Things

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About the book

Data is revolutionizing the way we all do business. Every business is now a data business and needs a robust Data Strategy. However less than 0.5% of all data is ever analysed and used, offering huge potential for organisations when trying to leverage this key strategic asset.

What is the value of your data and how does it generate business value? Data Strategy, by bestselling author Bernard Marr, provides a clear blueprint showing what organizations need to do to define and execute an effective plan for one of their biggest strategic assets: data.

It shows you how to:

- define your strategic data assets and data audience
- gather the required data and put in place new collection methods
- get the most from predictive analytics and machine learning
- have the right technology, data infrastructure and key data competencies
- ensure you have an effective security and governance system in place to avoid huge financial, legal and reputational problems.

Illustrated with case examples of organizations such as Walmart, RBS, Google and NASA, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.

Table Of Contents

    • Chapter - 01: Why Every Business is Now a Data Business;
    • Chapter - 02: Deciding Your Strategic Data Needs;
    • Chapter - 03: Using Data to Improve your Business Decisions;
    • Chapter - 04: Using Data to Improve your Business Operations;
    • Chapter - 05: Monetizing your Data;
    • Chapter - 06: Sourcing and Collecting Data;
    • Chapter - 07: Turning Data into Insights;
    • Chapter - 08: Creating the Technology and Data Infrastructure;
    • Chapter - 09: Building Data Competencies in Your Organisation;
    • Chapter - 10: Ensuring Your Data Doesn't Become a Liability: Data Governance;
    • Chapter - 11: Executing and Revisiting your Data Strategy


As we enter the Fourth Industrial Revolution Marr tells us that it will be those companies that view data as a strategic asset that will survive and thrive. He helps us understand how data can improve decision making, improve operations and can be monetized in products or services. His latest book is both a reference manual for all aspects of understanding Big Data and a guide to how to use it to create value in any organisation. Whatever your view of the increasing use of data and automation, Marr's expertise will help you shape your own future using data.
Andy Rubin, Chairman, Pentland Brands

If you're a person in charge of data strategy for your company, but still struggle to articulate the size of the task and subsequent reward for building a data driven culture, this book can help provide a well round pulse on the change that is happening in business today, and arm you with the beginning of a structure to tackle it.
Jake Williams, Retail Strategy, Amazon

Algorithm will control every aspect of our lives. This book is the 2017 how-to-guide to take advantage of data to outthink, outcompete and outperform.
Henrik von Scheel, Advisory Board Member, Google

Bernard has a rare ability to make complex topics understandable for even the least technical among us. Bernard's insights in Data Strategy are invaluable because he truly understands how to create a comprehensive data strategy and importantly, how to explain it to others. I highly recommend this book to anyone seeking a practical guide to the world of big data.
Stuart B. Frankel, CEO, Narrative Science

Data Strategy isn't just for data people: Bernard Marr shows that a Data Strategy deserves attention on the same level as a company's marketing, customer, product, and talent strategies. In my experience, a data strategy is critical to the success of all of these efforts. I believe Bernard's book is a valuable starting point for developing your data strategy. I found it brought together a number of lessons I've learned. If you've never developed a data strategy, it's worth reading twice.
David Purdy, Data Scientist, Uber

Leveraging data to drive competitive advantage has shifted from being an option to a requirement, and Bernard provides a comprehensive roadmap for leaders focused on mapping and assessing their journey. His range of case examples, spanning the Digital Natives to small businesses, are engaging and informative, reinforcing the importance of starting from a business orientation. This should help readers accelerate business value as well as navigate the crowded landscape of technology, support and data options.
Andrew Salesky, SVP, Global Data Officer, Charles Schwab

A clear, concise and exciting road map for maximizing value from data in today's hyper competitive business landscape
Ralph Blore, Leader Central Analytics, Visa

Marr provides a sound, thorough overview of the key elements that shape data strategy, and he weaves in compelling real-world examples that highlight the importance of building a data-driven business to excel in today's data economy.
Brent Dykes, Director, Data Strategy, Domo

Bernard hits the pulse of one of the largest transformations impacting all businesses with this book. Having a robust data strategy and data science roadmap has become an essential part of every organization's DNA. This book provides a roadmap on how to get there with key insights from leaders in the space.
William Merchan, Chief Strategy Officer, DataScience

Bernard perfectly distils the need for well formulated business questions in a time when virtually anything can be measured and analyzed
Dan Morris, Sr. Director, Data Platform at Viacom

Book Details

  • EAN: 9780749479855
  • Edition: 1
  • Published: 3rd April 2017
  • Paperback
  • Dimensions: 234x157
  • 200 pages

About the Author

Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI & Big Data guru. He has worked with and advised many of the world's best-known organisations including Accenture, Astra Zeneca, Bank of England, Barclays, BP, DHL, Fujitsu, Gartner, HSBC, Mars, Ministry of Defence, Microsoft, Oracle, The Home Office, NHS, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP and Shell, among many others on their business and data strategies. He writes on the topic of data and analytics for various publications including Forbes, HuffPost, and LinkedIn Pulse.

Bernard Marr