This is a business-focused overview of data analytics and statistics. Downloaded to my Kindle on an impulse because the author was recommended to me from a previous book.I found it to be too business-oriented and too high-level. When things are too abstract, by which I mean not enough math to nail it to my brain, I have trouble retaining the material.If you are interested in statistics and predictive analytics in general (i.e. not how to super-turbo-charge your career and companies profits!!!) t...

Ok. So did not learn much from this book that i already did not know before. Its quite useful however, from the perspective of the audience that this book is written for - i.e. folks who do not readily understand quantitative and statistical methods. It tries to teach middle and senior level managers how to make use of the quants on their team, or how to have a good conversation with the quants. I felt that the book is somewhat weak in advising leaders about in what situations would they need to...

This was an ok introduction to data analysis. I think the formal description of the flow is its selling point. I disliked the fact that quite a few important concepts are presented somewhere in the middle of the book as a type of "glossary". I also would have expected something a little bit more technical. However, the careful description of the entire flow of data analysis is for me a selling point.

This book might be useful one for a completely novice reader on the subject. I found it pretty shallow and repetitive. If you want to get your hand onto a good introductory framework about "Data" in business context, then I would ,instead, highly recommend "Data Fluency: Empowering Your Organization with Effective Data Communication".

This is a very good book that is easy to read and gives the reader a good idea on how to do some "analytics". Industries are changing and data is so prevalent and abundant that people need to be aware what is happening and what they can/should be doing. A lot has been said about an innumerate population, but we could be heading towards a quantitative illiterate population too.The book is broken into two sections - the explanation of the the analytical skills and then examples of how they are app...

This book is more like an easy read for people to get acquainted to the business analytics field ...the examples in the book do throw some interesting insights about the analytical approaches companies are taking in today's world.

Detailed. Tools, techniques, people, trends, analytical masters, inspiring insightful stories... It is too detailed for an audio book but might be better in printed format.

This book tries to describe 4 stages of analytical thinking, but in the end, there is nothing new in it. I think anyone interested in the topic could do without this one just fine.

Only marginally useful

I didn't like this book very much but it has been pretty informative.

quite down-to-the-ground manual for non-technical people on how to deal with data engineers. sometimes a bit boring, but I might be biased.

Intro. Not rigorous. More of an advertisement for data scientists. Proof that they want everyone else to bend to their will. Ex titles "Working with quants" "won't make you feel stupid" lol.

Understanding/Learning to Utilize New Data/Analytic Capabilities - This book offers a useful means for keeping up with the burgeoning field of analytics. As Davenport and Kim state “the world is awash with data” and their aim is to explain how quantitative analysis works and how to use such analyses to make decisions in our increasingly quantified and monetized environment.Within the book, the authors convey a simple three stage, six step quantitative analysis approach or framework. More specifi...

I read this book for one of my grad classes. It was a good read. Easy to follow, nicely organized, practical advice, and lots of interesting example cases. I appreciated the actionable suggestions towards the end of the book. It made me think seriously about identifying the problems in my work of teaching and seeking quantitative solutions to them, figuring out what data to collect in order to draw a valid conclusion/solution. It would also be interesting to consider having a school district hir...

This book contains good insights for aspiring business leaders with interest in becoming more analytical (which should be every business leader to be honest.) This is not a book about complex mathematical predictive models (those are for the quants) or quantitative methods. This is for business leaders to work with quants (mathematically oriented individuals) and collaborate on solving complex business problems. This is not to say understanding those “complex mathematical models” is not importan...

I really enjoyed this book. It was well written with a healthy amount of charts to explain and summarize ideas. This book explains the background and process to use analytics without dumbing things down or over generalizing. The point of the book is to explain what is needed to understand and work with analytics, and I found it very helpful. If I choose to pursue a deeper understanding of analytic problem solving, this book will be the reason for that. I definitely plan to revisit this book for

This is a book for people with very little or no understanding of statistics and especially how this field can help business people make better decisions based on data. It gives a framework so non-quants can follow and understand the process and the general thinking behind. The book also give more resources to keep the business people learning and being more data driven. Something is not for the future but that so many companies need urgently today.

A fun read, but it does not provide enough insight into how to create models, how to identify variables, and how to analyze data. To be fair the book states that it is not for aspiring quants, but for people keeping up with them. However not everyone has to be a professional quant to want to develop the quant habits advocated for in the book.

This book was suggested by the Certified Analyst Professional test exam study guide. It's a nice general book for people interested in the analysis process. It reads at a nice pase, and its not overly detailed or technical. Its a little old with an original copy write date of 2013, but it's updated and relevant, today.

It's a beautiful and nice book for all the people with absolutely no background in Data Sciences. This book has been designed for all this decision makers in business and government sector who really wants to take benefit of Big Data.Another good thing is that the book is full of examples where data has been intelligently utilized to infer important scientific and managerial decisions.