Although the period of creation of a book is usually counted as the period of its physical creation, this book could be said to have been created during the last twelve years. During this period, I solved different types of business cases using business intelligence (data mining) methods, which served as inspiration for the business cases presented in the book. In the very beginnings of studying the field of data mining, when I gradually mastered method by method, dealing with their algorithmic/mathematical backgrounds, which are generally very well represented in the literature, I always had the question of their effective practical business application. Although algorithmically complex, these methods were ultimately developed to be usable in practical application.
This book talks about exactly how to easily apply the mentioned methods, and use them to get useful information usable in everyday business. The book highlights business problems (drop in sales, rising costs, fraud, termination of contracts by customers...), with the difference that it shows how to effectively solve these problems with business intelligence. The main feature of such an approach stems from the fact that solving these problems is based on the knowledge discovered from the company's transaction databases, where the discovered knowledge becomes an ally to managers during the business decision-making process.
In this book, managers should get information about what they can learn from their transaction data, how to use the knowledge thus discovered in decision-making, and how to manage and plan these types of projects. Analysts can find a lot of useful information and some kind of recipes for solving certain types of problems, and they can identify the described business cases with specific problems from their own business environment.
- ISBN: 953-7177-15-7
- Number of pages: 252
- Cover: hard cover
- Year of the edition: 2006