Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods
- 5h 51m
- Steven Finlay
- Palgrave Macmillan Ltd
- 2014
Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts of data that they hold about people. This easy to read, in-depth guide provides readers with a solid understanding of predictive analytics, and how it should be applied to improve business decision making and operational efficiency. This includes how to avoid the pitfalls and dangers of introducing predictive analytics to a business area for the first time, legal, ethical and cultural issues that need to be considered, and a contextual road map for developing solutions that deliver real benefits to organizations. This how-to-guide will help managers to make the most of these technologies in their business area.
About the Author
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.
In this Book
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Introduction
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Using Predictive Models
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Analytics, Organization and Culture
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The Value of Data
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Ethics and Legislation
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Types of Predictive Models
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The Predictive Analytics Process
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How to Build a Predictive Model
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Text Mining and Social Network Analysis
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Hardware, Software and All that Jazz
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Notes
