"Business in the digital economy"-- on cover. Includes bibliographical references and index.
Contents:
Machine generated contents note: -- 1. Introduction -- 2. Using Predictive Models -- 3. Analytics, Organization and Culture -- 4. The Value of Data -- 5. Ethics and Legislation -- 6. Types of Predictive Models -- 7. The Predictive Analytics Process -- 8. How to Build a Predictive Model -- 9. Text Mining and Social Network Analysis -- 10. Hardware, Software and All That Jazz.
Summary:
"Predictive analytics, big data, and data mining are key topics for organizations who want to leverage the ever increasing amounts of data that organizations hold about their customers and other individuals. This in-depth guide provides readers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, the pitfalls and dangers, and a contextual road map for developing solutions that deliver benefits to their organizations. Written in an accessible way, this 'how-to-guide' will help managers to make the most of these technologies in their business area"-- Provided by publisher.
This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.