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Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things, by Bernard Marr
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Review
"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)"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)"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)"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)"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)"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 rounded 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)"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)
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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.
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Product details
Paperback: 200 pages
Publisher: Kogan Page; 1 edition (April 28, 2017)
Language: English
ISBN-10: 9780749479855
ISBN-13: 978-0749479855
ASIN: 074947985X
Product Dimensions:
6.2 x 0.4 x 9.2 inches
Shipping Weight: 10.4 ounces (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
15 customer reviews
Amazon Best Sellers Rank:
#138,973 in Books (See Top 100 in Books)
I think this is a really good book to get people thinking about how they can use big data to generate value in business.There are only three reasons I didn't give it 5 stars. First is that the impression I had that readers would come to the conclusion that working with internally generated data, much of the structured data that you need to integrate with big data to make sense of it, should be easy. My experience has been that internally generated data, even internally generated data that businesses have had for years, is anything but easy to work with. Most businesses have duplicate copies of data that get out of sync with each other. They also have applications and databases built in functional silos that don't integrate well with each other. Particularly if a business has grown by acquisition, then it is going to end up with lots of incompatible IT systems and databases that contain similar data that could be very difficult to integrate to get a whole view of the business. That integration is really hard to do. For example, Gartner estimates that fewer than 25% of master data management implementations (a data integration technology) are successful.The second reason is that I think the division of the ways to use data into separate categories of making better decisions, improving operations and monetizing data is a little too simplistic. Making better decisions and improving operations based on data will result in financial benefits - i.e. monetization. I think that connection needs to be drawn. In addition, you can really only monetizing data by selling data, or products containing data, to customers if those customers will see value in using it to make better decisions and improve operations of their own. So monetization of data all starts with better decisions and operations enabled by the data. Its misleading to draw such a distinction between them.Third, I think it places too much emphasis on using data to make all decisions. You really want to apply data when the risk and cost of making a bad decision by intuition or experience is worth the cost of obtaining and analyzing the data. Cloud-based data services do make it cheaper to obtain and analyze data than it has ever been. But there still is a cost to do so, especially if you need to integrate big data with internally generated data that is currently not well integrated. You want to focus on the data and analysis for decisions where that cost is justified. "How to Measure Anything" by Douglas Hubbard has a really good discussion of the economic value of data in making decisions that would be good to refer to.But, all in all, it is a very good book whose time has come. All businesses need to take data seriously in the 21st century. Those who don't, ignore it at their peril. This book should help them determine how data, especially big data, can be used to add value to their businesses.
Data has become an integral part with most, if not all, aspects of life. Bernard Marr shares how far data has come in regards to product development, the health industry, supply chain, social media, politics and many other important sectors. He also shares there is so much more that can be captured by the use of Big Data, Analytics and the Internet of Things.While data can help with efficiencies in so many areas, Big Data users must be cognizant of the notion that too much data is not always a good thing especially when it will not be used as intended. While I agree with this to a certain extent, analysts would much rather have more data available to them than not enough data. The most important objective to remember is how does an individual plan to use the data provided to them.I tend to work more with internalized structured data which is easier to work with. It is usually processed into the databases and tables with the appropriate columns needed for me to conduct analytics as I see fit.It was reassuring to see the importance of data and how much more that can be done with it, depending on its intended use. I highly recommend this book to anyone wanting to understand the overall importance data plays in strategy. There are some instances where I wish the author would be more detailed, but still a very good read!
Interesting topics and trends were covered by the author, making a great reading experience as well as a source for interesting insights.
Good book
Solid summary. Not particularly novel insights, but nicely summarized in one place. Helpful to check if you have considered everything for your business’ data strategy.
Every Consultant should have a copy.
Very good book.
Bernard Marr is an authority in this field, therefore it is easy to understand how Data Strategy will play its role in business.
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