Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

A Practical Guide to Data Mining for Business and Industry

Ahlemeyer-Stubbe, Andrea

wiley

Practical guide for deriving insight and commercial gain from data Monetising Data offers a practical guide for anyone working with commercial data but lacking deep knowledge of statistics or data mining. The authors ― noted experts in the field ― show how to generate extra benefit from data already collected and how to use it to solve business problems. In accessible terms, the book details ways to extract data to enhance business practices and offers information on important topics such as data handling and management, statistical methods, graphics and business issues. The text presents a wide range of illustrative case studies and examples to demonstrate how to adapt the ideas towards monetisation, no matter the size or type of organisation. The authors explain on a general level how data is cleaned and matched between data sets and how we learn from data analytics to address vital business issues. The book clearly shows how to analyse and organise data to identify people and follow and interact with them through the customer lifecycle. Monetising Data is an important resource: <ul>
<li>Focuses on different business scenarios and opportunities to turn data into value</li> <li>Gives an overview on how to store, manage and maintain data</li> <li>Presents mechanisms for using knowledge from data analytics to improve the business and increase profits</li> <li>Includes practical suggestions for identifying business issues from the data</li> </ul>
Written for everyone engaged in improving the performance of a company, including managers and students, Monetising Data is an essential guide for understanding and using data to enrich business practice.

Monetizing Data: How to Uplift Your Business

Business & Money

Coleman, Shirley

Business Culture

Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

Education & Reference

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Books by Ahlemeyer-Stubbe, Andrea

See the best price to sell, buy, or rent books by Ahlemeyer-Stubbe, Andrea. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

A Practical Guide to Data Mining for Business and Industry

Monetizing Data: How to Uplift Your Business

A Practical Guide to Data Mining for Business and Industry