Big Data at Work: Dispelling the Myths, Uncovering the Opportunities

Big Data at Work Dispelling the Myths Uncovering the Opportunities Go ahead be skeptical about big data The author was at first When the term big data first came on the scene bestselling author Tom Davenport Competing on Analytics Analytics at Work thought it was

  • Title: Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
  • Author: Thomas H. Davenport
  • ISBN: 9781422168165
  • Page: 473
  • Format: Hardcover
  • Go ahead, be skeptical about big data The author was at first.When the term big data first came on the scene, bestselling author Tom Davenport Competing on Analytics, Analytics at Work thought it was just another example of technology hype But his research in the years that followed changed his mind.Now, in clear, conversational language, Davenport explains what bigGo ahead, be skeptical about big data The author was at first.When the term big data first came on the scene, bestselling author Tom Davenport Competing on Analytics, Analytics at Work thought it was just another example of technology hype But his research in the years that followed changed his mind.Now, in clear, conversational language, Davenport explains what big data means and why everyone in business needs to know about it Big Data at Work covers all the bases what big data means from a technical, consumer, and management perspective what its opportunities and costs are where it can have real business impact and which aspects of this hot topic have been oversold.This book will help you understand Why big data is important to you and your organization What technology you need to manage it How big data could change your job, your company, and your industry How to hire, rent, or develop the kinds of people who make big data work The key success factors in implementing any big data project How big data is leading to a new approach to managing analyticsWith dozens of company examples, including UPS, GE United Healthcare, Citigroup, and many others, this book will help you seize all opportunities from improving decisions, products, and services to strengthening customer relationships It will show you how to put big data to work in your own organization so that you too can harness the power of this ever evolving new resource.

    One thought on “Big Data at Work: Dispelling the Myths, Uncovering the Opportunities”

    1. ARC provided by NetGalleyBig data. What is it and why the heck do we keep hearing people talk about it? Hasn't it been around for years and years? Haven't we always looked at data? Yes.d no. In Big Data at Work author Tom Davenport, expert in analytics, shares with us that at one time he too thought big data was just a retread of old information. But then he started looking into it and he discoveredg data is new. In this book Davenport tells us in a concise, nonsense, and nontechnical way of wha [...]

    2. This book is a simple accessible guide to help business owners and executives make sense of big data technologies, including their numerous opportunities, potential benefits, required talents, business strategies, implementation processes, etc. Don't expect any nitty-gritty stuff, but reading the book should provide a good starting point for evaluating and probing into how exactly to apply big data technologies in a way that aligns with and supports your company's key objectives.

    3. Absolutely interesting! All the articles are written with such clarity that it is a pleasure to enjoy the reading. I loved the way the authors describe how the new trends are re-shaping diverse industries and how the data scientists are never going to be out of work which makes me sigh in relief

    4. A good managerial overview on what you "should" do with data. Technology is advancing so fast in this space, any in-depth analysis (or high level for that matter) will be out of date before publication. The business aspects are good and always the bigger challenge. IT should drive governance - great if a business agrees but a battle royale if they don't. Still worth the time to get an idea on concepts.

    5. If you are in the data mining/analysis field, this is probably a fascinating read. I found certain parts of it interesting but for the most part it was really dry and I thought it would never end. And I really got tired of hearing the term "early days". As in, "It's still early days, but".

    6. The author stole my money on this book. This one contains exactly what his other books, but with a new cover

    7. This is a very dry book and feels slightly outdated since it was released. It feels like this book could be condensed into an article without loss of content.

    8. Surprisingly readable book on the explosion of big data and its emergence within modern businesses. I expected a dry overview of data analytics. Instead, I was given a clear introduction to the nature of big data, the reason for its growing focus within so many organizations, and the change (if not havoc) it will bring on future commerce, traffic, security, innovation, etc. Data is growing exponentially. Nowadays it encompasses not just the facts (i.e. name, rank, serial number) but shopping pat [...]

    9. I read this book to gain a better understanding of how Big Data can benefit companies who develop intentional efforts to harness all that big data has to offer. Given that I don't have a large technical background in data analysis or programming, I appreciated the easy to follow language that was used throughout the book. With that being said, I don't feel like I gained a deeper understanding of how to harness this resource that is taking the business world by storm. The examples given were very [...]

    10. Big data at work is an hype-free introduction to the highly popularized topic of big data. The books' content, depth and structure are targeted to novices in the field of big data. I would especially recommend the book to managers who having heard about big data are looking for a guide on what it is, where to start, what is needed and some success stories.Davenport introduces the concept of big data in an excellent manner. The introduction is jargon free and filled with excellent examples. He fo [...]

    11. Since I know next to nothing about Big Data, this book was a welcomed oasis in the rapidly changing world of information technology. Davenport is a business consultant, as such his focus is on the conceptual and business end of the idea. I was looking for something that was closer to the technical end. To be fair, he does make a more than valiant stab at listing what big data can do for actual physical products rather than just virtual products.I think he did a great job of introducing me to the [...]

    12. Most organizations should be moving toward big data, especially retail, travel,telecommunications, media, entertainment, and financial services. And funny enough a 2013 survey showed that although familiar with the concept, only 28% were making use big data.What is this thing called "Big Data?" Big Data is broad and affects organizations and businesses in a myriad of ways. Basically it's a way of taking in huge amounts of data, even data that you might not think is relevant and making use of it [...]

    13. Big Data at work seeks to provide a high level overview of what Big Data is and how it can integrate into the business world. Thomas Davenport seeks to show that the next evolution in data management (from traditional reporting, to business intelligence to analytics) is now focused on Big Data and how to organize large unstructured amounts of data and correlate it with trends in your industry. Davenport looks at two paths that have used big data. The start-ups who had a clean slate and were able [...]

    14. Big Data at WorkThomas H. DavenportHarvard Business Review PressWhat is Big Data? This book explains what Big data is and how it is different from conventional data, and why it is important for business.In understandable terms, Davenport describes Big Data as unstructured data that flows continuously. Technology and the internet provide this type of data, for businesses to process and analyse, often on the run.The book goes on to explain how to start and develop a strategy to get on board, and i [...]

    15. Definitely an easy-to-read book about a very hot analytics topic, "Big Data At Work" is written almost literally based on a successful science-writing recipy: define, analyze, rinse, repeat. I enjoyed the book substantially, especially its quick study cases and its concise manner of popularizing difficult concepts (I still keep at hand Davenport's definitions of the most used statistical measures). As I reviewed "Big Data At Work" on the investments blog doitinvest, I couldn't help myself but to [...]

    16. Pragmatic AdviceThis is a good book for anyone looking for strategic advice in the realm of enterprise big data. Davenport covers a variety of concerns including data sourcing, the role of the data scientist, and glimpses into approaches that some companies have already adopted. He provides summaries at the end of each topic that include a number of questions that will help you drive towards the right approach for your organization. One important note is that this is not a technology roadmap per [...]

    17. This book's intended audience is a rather narrow band. Directed at upper level managers who are playing catch up on (or new to) the 'big data' game, Babson Professor - Thomas Davenport, has crafted a very readable and approachable high level executive summary on the importance of big data utilization, how to set up said infrastructure, how to staff and some light usage case scenarios. Those already well versed on these practices and looking for something more technical won't learn anything that [...]

    18. this is an interesting book on that teaches you what big data is, how it is used now and how it may be used in future. the book makes a strong case on how important big data will be to businss in future so it's a big recommendation for people in business's a little slow to start but very good once it gets going it's very good. there's lots of interesting side points that go along with the main pointading this book alongside 'Rise of the Robots' works very well. they cover many similar points and [...]

    19. Decent introduction into the business applications of Big Data; though the analytics portion of the book can be summarized as "read my other book Competing on Analytics!" However, for what it was (a business book) it did its job well and served as a good secondary source to a few other deeper technical works.Blog | Twitter | Facebook | Google Plus

    20. How can you go wrong with a book about data??? Although this is what I do for a living (data analytics) I am not an expert in big data and cannot always get my head around what to do with those massive data sets. The world of data is getting bigger and bigger, and the amount that we can actually do anything with is a fraction of what could be done. I recommend this book for learning about big data and its potential.

    21. Insightful and concise book on Big Data in business context. Don't expect anything too technical here - this is a book written for executives that are looking for ways in which Big Data could enhance or optimize their existing businesses. Overall a very good overview that helps to frame the current buzz around big data in the typical HBR fashion.

    22. Good overview of big data. It was a quick read. It was a bit high level with a few examples of lower level ideas, but the author does caveat that at the beginning of the book. Great read for any decision makers in an organization that may be able to utilize big data to promote their organization.

    23. Only small portion of this book answer my question, that is the chapter about human side of big data. The rest of it are more useful for those with private company background. I didn't realize it. Anyway, I think it's good reading for anyone want to know about the basic and big data potential for a private company.

    24. Overall a good primer for manager, especially those in more senior roles. But for technical data science practitioners, especially those lower down the corporate hierarchy in a not so analytically mature company, this isn't as useful as I would have hoped.

    25. The book is meant to argue why a company should be using big data. It's not really that useful as a guide / instruction on what has been done so far or what will come up next. Good for someone just starting to check out the filed, a bit redundent if ou already have experience.

    26. Like his book "Competing on Analytics," Davenport provides some interesting examples of analytics (here BDA) from real-world companies. Several good quotes if writing a proposal to get more money to invest in more data scientist talent and/or BDA technologies. Nothing technical.

    27. A nice overview of Big Data applications and use cases by Davenport. Chapter 2 was the most interesting, because it shows many near future examples of the application of Big Data in several industries to give customers better jobs and experiences.

    28. an overview of big data and what one needs to consider when developing strategies to employ big data in the workplace. librarians: metadata is mentioned once in passing. the first and last chapters were of most use to me as they were more of an overview/big picture presentation.

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