Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics

You receive an e-mail. It contains an offer for a complete personal computer system. It seems like the retailer read your mind since you were exploring computers on their web site just a few hours prior….

As you drive to the store to buy the computer bundle, you get an offer for a discounted coffee from the coffee shop you are getting ready to drive past. It says that since you’re in the area, you can get 10% off if you stop by in the next 20 minutes….

As you drink your coffee, you receive an apology from the manufacturer of a product that you complained about yesterday on your Facebook page, as well as on the company’s web site….

Finally, once you get back home, you receive notice of a special armor upgrade available for purchase in your favorite online video game.  It is just what is needed to get past some spots you’ve been struggling with….

Sound crazy? Are these things that can only happen in the distant future? No. All of these scenarios are possible today! Big data. Advanced analytics. Big data analytics. It seems you can’t escape such terms today. Everywhere you turn people are discussing, writing about, and promoting big data and advanced analytics. Well, you can now add this book to the discussion.

What is real and what is hype? Such attention can lead one to the suspicion that perhaps the analysis of big data is something that is more hype than substance. While there has been a lot of hype over the past few years, the reality is that we are in a transformative era in terms of analytic capabilities and the leveraging of massive amounts of data. If you take the time to cut through the sometimes-over-zealous hype present in the media, you’ll find something very real and very powerful underneath it. With big data, the hype is driven by genuine excitement and anticipation of the business and consumer benefits that analyzing it will yield over time.

Big data is the next wave of new data sources that will drive the next wave of analytic innovation in business, government, and academia. These innovations have the potential to radically change how organizations view their business. The analysis that big data enables will lead to decisions that are more informed and, in some cases, different from what they are today. It will yield insights that many can only dream about today. As you’ll see, there are many consistencies with the requirements to tame big data and what has always been needed to tame new data sources. However, the additional scale of big data necessitates utilizing the newest tools, technologies, methods, and processes. The old way of approaching analysis just won’t work. It is time to evolve the world of advanced analytics to the next level. That’s what this book is about.

Taming the Big Data Tidal Wave isn’t just the title of this book, but rather an activity that will determine which businesses win and which lose in the next decade. By preparing and taking the initiative, organizations can ride the big data tidal wave to success rather than being pummeled underneath the crushing surf. What do you need to know and how do you prepare in order to start taming big data and generating exciting new analytics from it? Sit back, get comfortable, and prepare to find out!

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3 comments

  1. 38 of 46 people found the following review helpful
    2.0 out of 5 stars
    Mildly disappointed, August 9, 2012
    By 
    John Plummer (Taos, NM) –
    (REAL NAME)
      

    Verified Purchase(What’s this?)
    This review is from: Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Hardcover)
    I am a retired data analysis professional. For the final 15 years of my active career I was involved in the analysis of semiconductor wafer fab production data for advanced process control and fault detection and classification. While the data sets were not huge by today’s standards, they were large enough to stretch the application of traditional statistical methods. Subjects such as cluster analysis, missing data estimation, and relatively large predictive models were of interest.

    I bought this book hoping to learn something about new analytic tools that have been developed in the past five years or so. Unfortunately, I didn’t learn very much. Analytic tools that were mentioned were not described in any detail. I found a few mentions of predictive modeling, a couple of decision trees, and just one of neural networks. All were mentioned by name only, with no explanation of how they are built, where they can be applied, with examples taken from th so-called “real world.”

    I was also disappointed to find that the total orientation of this book is toward marketing applications. There is no discussion of such big data sets as seismic data, weather forecasting, satellite photo feeds, or large-scale manufacturing systems. In that regard the book is mistitled.

    This book is addressed to a non-technical audience, and that is fine. However my test for a book of this kind is that a potential customer of these analytic services should accomplish enough understanding of the tools of the field to be able to conduct an intelligent discussion with a professional practitioner. This book fails that test.

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  2. 23 of 27 people found the following review helpful
    5.0 out of 5 stars
    Broad Intro to Big Data, July 25, 2012
    By 
    Michael Tsiappoutas (IL, USA) –

    Verified Purchase(What’s this?)
    This review is from: Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Hardcover)
    Nice, clear intro to the high level concepts of Big Data. Easy, fun read. Gives enough detail for putting together an executive report or getting a team started. Pros and cons are balanced well, examples are interesting and informative (starts off with Web data and moves on to more ‘boring’ industires like insurance and retail), touches on possible uses of text predictive analytics, MapReduce/Hadoop, a very inspiring section on how to build and sustain a Big Data team, etc.

    Bill tackles controversial issues with ease and confidence, giving away his years of practical experience (statistical significance vs business ROI, sampling or not, shoot for improvement not perfection, just get started!, etc.).

    Someone said something about the book mentioning but not explaining terms like logistic regression and boosted trees. (1) If you don’t know these terms, probably the topic of Big Data would not be of much interest to you. Or maybe start with Bishop Pattern Recognition and Machine Learning (Information Science and Statistics), Hastie The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics), or something similar. (2) There is no single book to prepare someone for the nitty-gritty of this totally new, interdisciplinary subject. If you are familiar with the machine learning, statistical, engineering methods and you need to know more about Big Data, then this book is a good place to start. But if you don’t know the basics, you will probably need to build some acumen before reading this or any other similar book on the subject. I’m not affiliated with the author nor his company in any way.

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  3. 14 of 17 people found the following review helpful
    5.0 out of 5 stars
    A Superb Handbook for Strategists and Marketeers, May 29, 2012
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    This review is from: Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Hardcover)
    You don’t have to be a “data” manager to benefit from this superb, user friendly guide to big data. Whether you’re involved in strategy, marketing, business development, or general management, you’ll find some useful insights. The really important theme of this book is the convergence of data management and analytics. It’s one thing to generate data, but it’s quite another to parse and analyze it. Bill Franks has done a terrific job of putting these issues into context. The bottom line is how do you extract business value from massive and growing amounts of structured and unstructured data? The examples are interesting and it’s easy to draw parallels to many other industries.

    I found this to be an eye-opening look at a trend that is still in the early stage of emergence – something that will definitely provide competitive advantage to organizations that do this effectively. This is one of those “much appreciated” books on a topic that affects all organizations. Computers and wireless gizmos, digitalization of health records, an explosion of sensors of every shape and function, are all pushing us into new uncharted waters. Bill Franks helps provide some guideposts. I don’t get time to read many “business books” but this one made my list. I also enjoyed the interviews with Bill Franks on YouTube!

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