Statistical process control and the use of designed experiments in industry have led to some remarkable successes in recent years. Many of these have been well publicized, as has the contribution of statistical methods to the development of industrial supremacy in the Pacific Rim nations. Nevertheless, statisticians are often heard to bewail the fact that these methods are not so widely used as they might be. The purpose of The Pocket Statistician is therefore to provide, in five handy chapters, a practical guide to the use of statistics in industry. Rather than expounding the underlying theory, the authors have provided insight into what methods can do and how they do it; and knowing that the intended readership are busy people the discussions have been kept as concise as possible. A data disk is included in the back so that the analyses can be practiced immediately.

The Pocket Statistician : A Practical Guide to Quality Improvement

Business & Money

Jones, Roger

Coleman, Shirley

Morris, Clare

Greenfield, Tony

Puzey, Ian

Management & Leadership

Hodder Education Publishers

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

Ahlemeyer-Stubbe, Andrea

Business Culture

wiley

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

Education & Reference

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