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Publisher's Summary

Get smart - learn to convert the promise of Big Data into real-world results.

There is so much buzz around big data. We all need to know what it is and how it works. But what will set you apart from the rest is actually knowing how to use big data to get solid, real-world business results - and putting that in place to improve performance.

Big Data shows you how to implement the same practices that leading firms have used to access new dimensions of profitability. You'll learn from clear explanations and countless examples how successful organisations large and small use the SMART model to get ahead.

©2015 Bernard Marr (P)2015 Audible, Ltd

What members say

Average Customer Ratings

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  • Overall
    2 out of 5 stars
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    3 out of 5 stars
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    3 out of 5 stars

It would deserve an A (if it was a school paper)

This book would be a good introduction to a real book about Big Data. There's some good concepts in it, but it barely touches the issue making it sound like a introduction book about data itself, not big data. Dealing with big data brings some issues specific to the task that were not addressed.

Some questions I still have: what are the technologies I can apply in order to deal with huge amounts of data? Where should I store it? What do I plug-in in order to extract some information from it? Where do I get more information? What kind of professionals should I hire? I already have the damned smart questions, I have the datasets, how do I move on? Hiring the author is the only solution?

If my customers ask me about big data I'll have nothing pragmatic to tell them.

9 of 9 people found this review helpful

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    2 out of 5 stars
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Meh

Mostly stuff you already know. Really seems like the book was written for an older and less tech savvy person.

3 of 3 people found this review helpful

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    1 out of 5 stars
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  • GH
  • Sherborn, MA, United States
  • 09-11-15

Fluff Data

This book is targeted towards an absolute neophyte who is interested in understanding what the term big data means when he/she heard it advertised by IBM during last year's Superbowl.

What this book does. It takes all the buzz words that can be found by google or Wikipedia, and defines them. Marr attempts to put big data a structure that is too simplistic it's akin to summing up raising a child as: birth, growth, teenage conflict, adulthood. True, but is it worth the credit? NO. This is a pass of "big data" proportions.

22 of 28 people found this review helpful

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    3 out of 5 stars
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    3 out of 5 stars

Light on both Big Data and business acumen

What did you like best about Big Data? What did you like least?

The book is strongest for those with little big data experience making it great for small and medium firms looking to start using the data that they have.

1 of 1 people found this review helpful

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    4 out of 5 stars
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    5 out of 5 stars

Good framework to approach Big Data

Good intro to Big Data. Provides a framework through which one should approach big data within their organization and a good many examples of case studies.

This is not an advanced technical book about how to apply analytics.

1 of 1 people found this review helpful

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    5 out of 5 stars
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Interesting book!

The author’s prescience in light of the recent Facebook data privacy debacle made the book relevant to things that are happening today.

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    2 out of 5 stars
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Author lacks foundational understanding of statistics

What could have made this a 4 or 5-star listening experience for you?

Okay overview of the application of big data analytics in the business world. My main complaint is that in several places of the book it becomes clear that the author lacks an understanding of the most basic foundations of statistics, as well as the cognitive psychology of decision-making.

For example, when he discusses the downsides of applying big data analytics, he notes that due to the inherent uncertainty of the world, our point predictions will sometimes be wrong (e.g., not everyone who are algorithms singles out as being a risky borrower will actually default). There are two mistakes in this reasoning: Most importantly, one of the main goals of statistics is to QUANTIFY UNCERTAINTY. Thus, no reasonable model would predict that something is going to happen with 100% certainty (like in his examples). Only someone not schooled in statistical thinking would ignore those estimates of uncertainty and simply focus on the point estimate.
Secondly, we have to take into account how humans would decide in the absence of quantitative models. It turns out that the human brain is very bad at thinking probabilistically, and usually thinks in terms of categories and representative examples of these categories. As a result, it is prone to to stereotypes, neglecting the variation within these categories. Thus, the question is not whether statistical models lead us to neglect uncertainty, but whether they neglect uncertainty LESS than human decision-makers would in the absence of quantitative models. (A much better treatment of the risks of big data analytics is found in "Machine, Platform, Crowd", which I can highly recommend.)

Overall, these flaws in the author's thinking makes me question his competence on the subject. Machine learning methods have made statistical models much more powerful, so it is more dangerous than ever if these models get applied without a full understanding of them.



Would you ever listen to anything by Bernard Marr again?

No

What about Piers Wehner’s performance did you like?

It was good

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similar to other Marr books

already read 2 other Bernard Marr books, all very similar information just told in different ways

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Understand

Geeting to know big data is a matter of urgency. This book must be internalize to make information an every day business.

  • Overall
    5 out of 5 stars
  • Sadeeq
  • Olympia, USA
  • 10-20-17

A must read, and eye opening.

Anyone interested in data, in any capacity, should read this book. what is discussed are the pivotal changes and accomplishments in the field of data management, business intelligence, and the world as we know it.

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  • M. A. Jones
  • 03-02-16

vaguely interesting but repetitive

A collection of a few anecdotes and general information on "big data". Some sections are akin to listening to someone read from a dictionary. It's fairly devoid of any in depth discussion. If you've never heard the term big data or possibly never even used a computer before, this book is for you.

2 of 2 people found this review helpful

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    5 out of 5 stars
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  • Matt Simpson
  • 05-05-17

Brilliant and you don't need to be a techy

Great book, well presented and dispels a lot of myths and hype around big data. Highly recommended.

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  • arinze onyiah
  • 01-08-17

insightful

best book on big data I've listened. i would like more books like this please

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    3 out of 5 stars
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  • Gavin George co uk
  • 10-02-16

Didn't really say much ..,..

a bunch of stories, a few facts and interesting enough to get you thinking about the subject. but for me this was more of an "awareness raising" type book than a technical insight .

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    3 out of 5 stars
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  • Amazon Customer
  • 09-13-16

A bit shallow

I was hoping for a more detailed overview of big data technologies, but been left a bit dissappointed. Author mostly talks about business strategies and focuses on putting down some overdone optimism of small/medium enterprises, instead of focusing on the big data itself

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    1 out of 5 stars
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  • researchschoar
  • 04-30-16

Dull and boring

What would have made Big Data better?

Wanted to learn abt Big Data, artificial intelligence and how the big data is playing tole.
so based on the reviews and ratings i took a plunge to get the book.
Its dull and boring. I tried to contimue listening but it just not interesting
Slow pace, no-new-thing, last time i ttied hearing was about 4-5 weeks back... And dont feel like continuing.

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    5 out of 5 stars
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  • João
  • 03-30-16

Excelente

Despite the fact that most of companies will not have access to the Big Data approach with the precision of Target or Amazon in a nearby future the book presents its possibilities in a very straightforward manner.