Predictive Analytics for Marketers

Using Data Mining for Business Advantage

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Pub Date Feb 03 2018 | Archive Date Feb 28 2018

Description

Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this enables companies to forecast consumer behaviour and much more. Predictive Analytics for Marketers will guide marketing professionals on how to apply predictive analytical tools to streamline business practices. Including comprehensive coverage of an array of predictive analytic tools and techniques, this book enables readers to harness patterns from past data, to make accurate and useful predictions that can be converted to business success. Truly global in its approach, the insights these techniques offer can be used to manage resources more effectively across all industries and sectors.

Written in clear, non-technical language, Predictive Analytics for Marketers contains case studies from the author's more than 25 years of experience and articles from guest contributors, demonstrating how predictive analytics can be used to successfully achieve a range of business purposes.

Predictive analytics has revolutionized marketing practice. It involves using many techniques from data mining, statistics, modelling, machine learning and artificial intelligence, to analyse current...


Available Editions

EDITION Other Format
ISBN 9780749479930
PRICE £26.99 (GBP)
PAGES 240

Average rating from 2 members


Featured Reviews

Predictive analytics is a fascinating hot topic in marketing circles currently and this book offers up an informative, engaging and understandable look at the situation-thus-far.

The author shows how current data can be used to try and predict future unknown events, so that products and services may be tailored towards this unknown form of demand. The method used may appear confusing, pulling together ‘complex’ subjects such as machine learning, statistics, artificial intelligence and data mining. No guarantees can be given, of course, yet this approach is more than sticking your finger in the air and guessing.

Through this book you will get a great understanding about what predictive analytics is all about, so you can possibly move forward, marshal your troops and get utilising it. It is written with the marketing professional in mind, giving examples about its usage, benefit and potential – many of the self-same areas can be beneficial elsewhere within the enterprise too. It goes into a lot of detail and provides a focussed read. It may overwhelm you but not in a negative sense.

It is written for the non-technical reader, so there is no blather of jargon and assumed prior knowledge. You may view it as a book for do-ers, something that attempts to convert the passive to the active! It is available at an exceptionally low price for what you are getting too. Other than that, it is a typical Kogan Page book – clear layout, well-signposted, good references, index and more besides.

A book to read, exploit and deploy from. Even if you are using predictive analytics today, it may still be worth a read to see if you are missing anything too!

Predictive Analytics for Marketers, written by Barry Leventhal and published by Kogan Page. ISBN 9780749479930. YYYYY

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The world is rapidly changing and no less so in Marketing than anywhere else. Barry Leventhal has produced a comprehensive guide for both the beginner and the seasoned professional who is now facing significant changes to his/her methods of working.
The book has a very practical approach to the challenges and demonstrates the importance of data and how predictive analytics may assist the marketer to achieve their goals.This should be a must read to any business that wants to maintain a competitive advantage.
Thanks to Netgalley and the publisher for providing me with a copy of this book in exchange for an honest review.

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