Finlay Predictive Analytics, Data Mining and Big Data

Myths, Misconceptions and Methods
1. Auflage 2014
ISBN: 978-1-137-37928-3
Verlag: Palgrave Macmillan UK
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 260 Seiten

Reihe: Business in the Digital Economy

This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Zielgruppe

Research

Autoren/Hrsg.

Finlay, S.

Inhaltsverzeichnis

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

Über Autor(innen)

Steven Finlay is one of the UK's leading experts on predictive analytics and its application within Big Data environments. He has extensive experience of developing predictive analytics solutions within Financial Services, Retailing and Government organisations. Steven is currently Head of Analytics at HML, the UK's largest provider of mortgage administration services. Previously he has worked as a data scientist, consultant and project manager for a variety of organizations in both the public and private sectors. Steven has a PhD in predictive analytics and is an Honorary Research Fellow in the Management Science Department at Lancaster University in the UK.