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Business Analytics for Managers (Inglese) Copertina flessibile – 10 ago 2011

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Descrizione prodotto


From the book reviews:

“The book is organized so that it may be viewed as a collection of eight lectures. I think this is a good way to approach the book. … the book does a nice job of delivering on its main objectives and I recommend it to anyone who desires to know more about the practice and the potential of business analytics.” (Mark A. McComb, Technometrics, Vol. 54 (4), November, 2012)

Dalla quarta di copertina

The practice of business is changing. More and more companies are amassing larger and larger amounts of data, and storing them in bigger and bigger data bases. Consequently, successful applications of data-driven decision making are plentiful and increasing on a daily basis. This book will motivate the need for data and data-driven solutions, using real data from real business scenarios. It will allow managers to better interact with personnel specializing in analytics by exposing managers and decision makers to the key ideas and concepts of data-driven decision making.


Business Analytics for Managers conveys ideas and concepts from both statistics and data mining with the goal of extracting knowledge from real business data and actionable insight for managers. Throughout, emphasis placed on conveying data-driven thinking.  While the ideas discussed in this book can be implemented using many different software solutions from many different vendors, it also provides a quick-start to one of the most powerful software solutions available.


The main goals of this book are as follows:

·         To excite managers and decision makers about the potential that resides in data and the value that data analytics can add to business processes.

·         To provide managers with a basic understanding of the main concepts of data analytics and a common language to convey data-driven decision problems so they can better communicate with personnel specializing in data mining or statistics.

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Le recensioni clienti più utili su Amazon.com (beta)

Amazon.com: 4.1 su 5 stelle 7 recensioni
5.0 su 5 stelle Useful 25 agosto 2016
Di Jennifer K. Wilson - Pubblicato su Amazon.com
Formato: Formato Kindle Acquisto verificato
I read this for Dr. Jank's graduate level course Statistical Data Mining and it was very useful. I would recommend this book.
1 di 1 persone hanno trovato utile la seguente recensione
3.0 su 5 stelle Not for regular reading 7 maggio 2016
Di Sergeant O - Pubblicato su Amazon.com
Formato: Copertina flessibile Acquisto verificato
This book is not well written as an independent resource guide. It must be taken in conjunction with the course and reader must have access to the data mentioned within the book. It does not explain concepts very well for beginners and requires reader to use R and have familiarity with R. It attempts to provide a structure as a teaching method but falls flat on that front. I wanted so much from this book but ultimately it does not deliver - probably better alternatives out there. However if this is your course required book and you've never taken R then you may want to purchase an additional book such as a beginner's guide to R or take an introductory course to R before taking this course.
4 di 6 persone hanno trovato utile la seguente recensione
5.0 su 5 stelle Excellent book on creating predictive data models 30 aprile 2012
Di J. Story - Pubblicato su Amazon.com
Formato: Copertina flessibile
In business, it can be vital to able to anticipate what will happen in the future. Jank's book takes you through the process of developing data models that make this possible. These models range from the most simple to the complex.

Although creating these models requires the use of statistics, Jank does a good job of making the subject understandable to the layman. He resists excess use of jargon, and I found the book easy to read. This does not in the least mean that the book is a fluff piece. It is easy to follow, but it walks through a statistical minefield, and so must be read closely.

My only critique is that a little more eye candy would probably make the book appeal to a larger audience.
5.0 su 5 stelle Ideas of BA made Simple 5 dicembre 2014
Di Sean Hemingway - Pubblicato su Amazon.com
Formato: Copertina flessibile Acquisto verificato
An excellent overview of the main techniques, procedures, and the rational for using each technique. Different techniques are applied to the same set of examples which add insight. I am adopting this book as one of the textx for my BA class.
5.0 su 5 stelle Awesome book if you really want to understand basics of ... 15 marzo 2015
Di Sagar Allamdas - Pubblicato su Amazon.com
Formato: Copertina flessibile
Awesome book if you really want to understand basics of business analytics. I would recommend to anyone starting out as data analyst.