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  • © 2014

Predictive Analytics, Data Mining and Big Data

Myths, Misconceptions and Methods

Palgrave Macmillan

Authors:

  • Broad, yet disciplined approach with extensive experience of private, academic, and government sectors the author is uniquely placed to offer valuable and relevant insights

  • The book will appeal to a broad range of people in many organizations as a practical guide, designed for managers and practitioners

  • Fresh perspective on Big Data: tracks the development of Big Data from its beginnings in the 1980s

Part of the book series: Business in the Digital Economy (BDE)

Buying options

eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-1-137-37928-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xii
  2. Introduction

    • Steven Finlay
    Pages 1-20
  3. Using Predictive Models

    • Steven Finlay
    Pages 21-38
  4. Analytics, Organization and Culture

    • Steven Finlay
    Pages 39-64
  5. The Value of Data

    • Steven Finlay
    Pages 65-84
  6. Ethics and Legislation

    • Steven Finlay
    Pages 85-103
  7. Types of Predictive Models

    • Steven Finlay
    Pages 104-133
  8. The Predictive Analytics Process

    • Steven Finlay
    Pages 134-156
  9. How to Build a Predictive Model

    • Steven Finlay
    Pages 157-178
  10. Text Mining and Social Network Analysis

    • Steven Finlay
    Pages 179-193
  11. Hardware, Software and All that Jazz

    • Steven Finlay
    Pages 194-208
  12. Back Matter

    Pages 209-248

About this book

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.

Keywords

  • big data
  • calculus
  • data mining
  • hardware
  • organization
  • organizations
  • Predictive Analytics
  • social network analysis
  • software
  • text mining

Reviews

'A welcome addition to the literature on data driven decision making. Finlay's book gives a commendably non-technical discussion of the business issues associated with embedding analytics into an organisation and how data, big and small, can be used to support better decision making. It is peppered with case studies from the author's experience and is a great source of insight for technicians and business people alike.'

-Paul Russell, Director of Analytics, Experian UK&I

'A fully immersive introduction to the world of predictive analytics and its application to Big (and small) Data. Full of interesting stories and case studies, it provides a fascinating real world perspective of these technologies and how best to apply them. A must read for managers and data scientists alike.'

-Ioannis Stamatopoulos, Director for Moody's Enterprise Risk Solutions and Services, RiskMatrix

'Analytics is the latest organizational enthusiasm harnessing data, both internal and external, to add value is no easy task. This introduction hits all the right notes with case studies and insight gathered from Steve Finlay's considerable experience. The challenge which he meets is to explain in clear non-technical language the various methods and how they can be implemented; nor does he neglect the problems of embedding quantitative expertise into organizations that aren't used to its logic. Recommended for the manager or MBA student wanting an overview of this exciting new area.'

-Professor Robert Fildes, Distinguished Professor, Director, Lancaster Centre for Forecasting, Lancaster University, UK

'Mr Finlay has written a very readable, business friendly book that goes well beyond the formula. His real world experience and practical discussions would be of great benefit to industry practitioners.'

-Naeem Siddiqi, Global Product Manager, Banking Analytics Solutions, SAS Institute

"If you want an excellent nontechnical overview of the predictive analytics process, this book should meet your needs... Finlay, a data scientist with decades of experience, provides an excellent introduction for readers, equipping them with the knowledge

to manage both the implementation and use of predictive analytics models in their organizations."

-Neil Desnoyers, Decision & System Sciences Department, Saint Joseph's University, Philadelphia, Pennsylvania: review in Interfaces, INFORMS

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.

Bibliographic Information

Buying options

eBook USD 44.99
Price excludes VAT (USA)
  • ISBN: 978-1-137-37928-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 59.99
Price excludes VAT (USA)
Hardcover Book USD 59.99
Price excludes VAT (USA)