Share
Predictive Analytics for Marketers: Using Data Mining for Business Advantage (in English)
Barry Leventhal
(Author)
·
Kogan Page
· Paperback
Predictive Analytics for Marketers: Using Data Mining for Business Advantage (in English) - Leventhal, Barry
$ 31.31
$ 34.99
You save: $ 3.68
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Tuesday, June 18 and
Wednesday, June 19.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Predictive Analytics for Marketers: Using Data Mining for Business Advantage (in English)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
