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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.
Steven Finlay is Head of Analytics at HML, the UKs largest provider of mortgage servicing solutions. He has also worked as a consultant, product developer, brand manager and project manager.
Prior to working for HML, he spent several years advising the UK government on the application of predictive analytics, with particular emphasis on overcoming cultural barriers to the use of advanced analytics. Previously, he also worked for Experian, managing their UK Analytics Team and leading on the design of Experian's Predictive Analytics software.
Steven has published a number of books about predictive analytics and consumer finance. His most recent books include: "Consumer Credit Fundamentals" (2009), "The Management of Consumer Credit: Theory and Practice" (2010) and "Credit Scoring, Response Modeling and Insurance rating. A Practical Guide to Forecasting Consumer Behavior" (2012).
Steve is very laid back when it comes to discussing his books and always likes to hear from readers. So, if you have any questions or comments about his books (the good and the bad) then he would love to hear from you at: [email protected]
This is Steve, the author.
First, thanks to Vincent and AnalyticBridge for putting this on the site (I didn't ask them too - honest!)
Second - I wanted to let people know that the book is now available/can be ordered from all good bookshops, or directly from the publisher (Palgrave Macmillian).Its also available at Amazon in hardback or as a Kindle version.
As it says in the original post, happy to answer questions about, it if anyone has any.