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Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remark Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.


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Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remark Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

30 review for Too Big to Ignore: The Business Case for Big Data

  1. 5 out of 5

    Fileundercommonknowledge Simpson

    A well-written, easy to read primer on the Business Case for Big Data. I'd recommend giving this to a decision maker or business consultant to understand more about what Big Data might offer to their area of interest. I personally did not learn a lot that was new, but then this is my area of specialisation and it was still a very good was of re-capitulating a lot of what I know. I liked the case studies - most of those were new, and are most helpful (I'm using the Explorys, Healthcare one now). He A well-written, easy to read primer on the Business Case for Big Data. I'd recommend giving this to a decision maker or business consultant to understand more about what Big Data might offer to their area of interest. I personally did not learn a lot that was new, but then this is my area of specialisation and it was still a very good was of re-capitulating a lot of what I know. I liked the case studies - most of those were new, and are most helpful (I'm using the Explorys, Healthcare one now). He provides a good overview of all of the key topics: business cases where it's applicable, compares and contrasts with BI EDW techniques, analytics and visualisation, ethics, etc. Simon doesn't focus exclusively on social media, but looks to what the Internet of Things and integration across the Enterprise offers. This is a good thing - looking to where Big Data is going, rather than where it's already well established. I'd have liked to see him have covered the Velocity aspect of Big Data in some detail. There's a lot to be said about being able to iterate your business operations more quickly and effectively than the competition - leading to their business not being able to react to what you're doing and becoming confused (think iPhone and RIM/Nokia). Market micro-segmentation is a clear opportunity here. The Boyd OODA Loop (see Wikipedia entry) is a good place to read more about this. This book is a good starting point for attaining an overall understanding and then finding out more - it is particularly well cross-referenced with pointers to additional reading.

  2. 4 out of 5

    Gunjan Surana

    The book gives a clear idea of implementations of big data. Though the book is old for current times , the context is still relatable

  3. 5 out of 5

    Casey Wheeler

    As a matter of disclosure I read this book as part of the 12 Book Group with the expectation that I would participate in discussions on Goodreads and post reviews on Amazon, Goodreads and my business book blog. This was an informative and, for me, a somewhat challenging read. Author Phil Simon presented the business case for big data from a big picture perspective, but I think that I would have gotten more from the book if I had a better background in some of the technical issues presented. That As a matter of disclosure I read this book as part of the 12 Book Group with the expectation that I would participate in discussions on Goodreads and post reviews on Amazon, Goodreads and my business book blog. This was an informative and, for me, a somewhat challenging read. Author Phil Simon presented the business case for big data from a big picture perspective, but I think that I would have gotten more from the book if I had a better background in some of the technical issues presented. That aside, it was an educational read as I have a better understanding of the concept of big data and some of its potential uses. Two things about the book that I really appreciated were the summary at the end of each chapter and the notes listed at the end of each chapter. The notes at the end of the chapter made it much easier to find and read related material to the chapter. Most books place these at the end and I find myself flipping back and forth. Kudos to Phil or whoevers idea it was to set the book up in this way. Some of the examples in the book were familiar as I had read about them in either other books (not directly addressing big data) or in articles relating to big data. I enjoyed Chapter 2 – Demystifying Big Data, Chapter 7 – Big Data: Big Issues and Big Problems and Chapter 8 – Looking Forward: The Future of Big Data the most as these were easier for me to follow without having to either go back and rereading passages or referencing the notes to gain a better understanding of the concepts presented. I feel that it also helped that I had read a half dozen of the books presented in the selected bibliography at the end of the book. I strongly recommend this book to anyone who is looking to gain a better understanding of the concept of big data, its potential uses (good and bad), and the challenges that it presents to organizations and individuals.

  4. 4 out of 5

    Crysta

    I’ve watched big data surge as an industry in the last year or so, and have learned a lot along the way. This book helped me better understand where the phenomenon came from, how it ties into prior technologies, and where it may be headed. Phil Simon writes in a very conversational, approachable style, covering the history of how we’ve worked with data. This context is helpful for people – like me – who lack a more rigorous technical background. I’ve picked up bits and pieces over time, but revi I’ve watched big data surge as an industry in the last year or so, and have learned a lot along the way. This book helped me better understand where the phenomenon came from, how it ties into prior technologies, and where it may be headed. Phil Simon writes in a very conversational, approachable style, covering the history of how we’ve worked with data. This context is helpful for people – like me – who lack a more rigorous technical background. I’ve picked up bits and pieces over time, but reviewing this history of structured data, relational data models, data warehouses, and more proved helpful. Simon hits a nice balance of practical advice for thinking through a big data business case, watching for common pitfalls, and opening your mind to new possibilities. He argues that, “Big data is less about following items on a checklist and more about embracing the unknown” - a valuable reminder for those embarking on a big data journey. Through case studies, Simon shares several examples of organizations that allowed themselves to stray from a process or checklist and the benefits they’ve experienced. There’s a handy overview of some common big data solutions, a solid discussion of Hadoop and a realistic treatment of the biggest challenges and cautions posed by big data. But he ends on the right note, looking at the sheer potential of big data to drive “the internet of things” and the components of a smarter home, from thermostats and music to more. I’d recommend this for anyone wanting to better understand where big data came from, why we’re talking about it, and why it matters. It’s a handy resource and would also be useful to help an executive or other business-oriented person better understand what they need to know to ask the right questions of vendors and partners.

  5. 5 out of 5

    Jacob

    I read this book as the September monthly selection in the 12 Books Group. In short I think this book is a great read for anyone who is trying to understand what Big Data is and what the positive and potential negative implications are for businesses. It has the right amount of technical information presented in a concise and easy to understand layout. One of the biggest takeaways I had from the book was the chapter that discussed the various tools, programs, and companies that currently exist to I read this book as the September monthly selection in the 12 Books Group. In short I think this book is a great read for anyone who is trying to understand what Big Data is and what the positive and potential negative implications are for businesses. It has the right amount of technical information presented in a concise and easy to understand layout. One of the biggest takeaways I had from the book was the chapter that discussed the various tools, programs, and companies that currently exist to frame and support the technical side of Big Data. Learning more about this tools and understanding how companies are implementing them really put the whole thing into perspective for me. I also really took a lot from the chapter about the potential negative impacts of Big Data. This serves as a good reminder that with great data comes certain responsibility to be ethical with the data and to protect it from those who may have bad intentions. If you are trying to wrap your head around Big Data with an intention of knowing how you can get started, if/who you can use Big Data in your organization; then I would recommend starting with this book by Phil Simon.

  6. 4 out of 5

    Meghan Vincent

    I read this book as part of the 12 Books Group. Phil Simon does a great job of explaining a beyond-complex business matter in an easy to digest, example-rich manner. Whether this is the first time you are exploring the concept of Big Data or you are further down the road of understanding, you will certainly learn from this book. He does a great job of incorporating real-life scenarios that highlight both the power (Target, Speed Bump) and the danger (Path) of an organization's use of Big Data. Th I read this book as part of the 12 Books Group. Phil Simon does a great job of explaining a beyond-complex business matter in an easy to digest, example-rich manner. Whether this is the first time you are exploring the concept of Big Data or you are further down the road of understanding, you will certainly learn from this book. He does a great job of incorporating real-life scenarios that highlight both the power (Target, Speed Bump) and the danger (Path) of an organization's use of Big Data. The book layout itself is clear and simple to understand, so flipping back and referencing previously made points is easy. I definitely recommend this book to anyone who is interested in learning more about Big Data!

  7. 5 out of 5

    Helder

    A great introduction to Big Data. The author clearly presents his view on this noble topic. Big Data is here to say, even if most people refuse to acknowledge its existence. The author gives some examples regarding the way Big Data is being used to drive companies growth and he even presents examples of how its being used by the government. You won't find detailed technical explanations of this current "hot topic", nor a detailed assessment of the technology involved. However, this book will ope A great introduction to Big Data. The author clearly presents his view on this noble topic. Big Data is here to say, even if most people refuse to acknowledge its existence. The author gives some examples regarding the way Big Data is being used to drive companies growth and he even presents examples of how its being used by the government. You won't find detailed technical explanations of this current "hot topic", nor a detailed assessment of the technology involved. However, this book will open your eyes to the possibilities that are presented by harnessing the power of Big Data. A recommended reading.

  8. 4 out of 5

    Tadhg Maccarthy

    Good overview on BigData - I struggled to find this info elsewhere on the 'net - as most "whitepapers" etc were just a front for flogging a particular platform.

  9. 5 out of 5

    Anandh Sundar

    The book delivered exactly what it promised- a plain english explanation of big data without overusing the jargon prevalent in so many white papers/consultancy reports. Really worth a read.

  10. 5 out of 5

    Iman Shabani

    A nice introduction to the topic.

  11. 5 out of 5

    Arup

    A must read for all who want to get a head-start with Big Data. The book really helps in 'Demystifying Big Data'.

  12. 4 out of 5

    Martin

    It's a great book for those who are starting in the world of Big Data.

  13. 4 out of 5

    Kara

    Review to follow.

  14. 4 out of 5

    Lester Martin

    This borderline 1-2 star book (mainly because of my own background -- I'm not sure I was the target audience) did not blow me away; more details at https://martin.atlassian.net/wiki/spa.... This borderline 1-2 star book (mainly because of my own background -- I'm not sure I was the target audience) did not blow me away; more details at https://martin.atlassian.net/wiki/spa....

  15. 4 out of 5

    Abhijit De

  16. 5 out of 5

    Yan Zhang

  17. 5 out of 5

    Grant Weaver

  18. 4 out of 5

    Shahab

  19. 5 out of 5

    Pranav Ramanathan

  20. 4 out of 5

    Matt Sowards

  21. 5 out of 5

    Michel

  22. 5 out of 5

    Ndagi

  23. 4 out of 5

    irfan bekleyen

  24. 5 out of 5

    Will

  25. 5 out of 5

    Steen Sørensen

  26. 5 out of 5

    J¡ngXuΔnت

  27. 4 out of 5

    Isamu Watanabe

  28. 5 out of 5

    Lexa

  29. 4 out of 5

    İsmail Kırtıllı

  30. 4 out of 5

    Carnegie Mellon University Alumni Association

    Phil Simon (DC 1993), Author From the author: Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of Phil Simon (DC 1993), Author From the author: Residents in Boston, Massachusetts are automatically reporting potholes and road hazards via their smartphones. Progressive Insurance tracks real-time customer driving patterns and uses that information to offer rates truly commensurate with individual safety. Google accurately predicts local flu outbreaks based upon thousands of user search queries. Amazon provides remarkably insightful, relevant, and timely product recommendations to its hundreds of millions of customers. Quantcast lets companies target precise audiences and key demographics throughout the Web. NASA runs contests via gamification site TopCoder, awarding prizes to those with the most innovative and cost-effective solutions to its problems. Explorys offers penetrating and previously unknown insights into healthcare behavior. How do these organizations and municipalities do it? Technology is certainly a big part, but in each case the answer lies deeper than that. Individuals at these organizations have realized that they don't have to be Nate Silver to reap massive benefits from today's new and emerging types of data. And each of these organizations has embraced Big Data, allowing them to make astute and otherwise impossible observations, actions, and predictions. It's time to start thinking big. In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types, and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity, and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years, and its ramifications for the future of business are impossible to overstate. Too Big to Ignore explains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals.

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