Abstract
If you are going to place predictive analytics at the heart of an automated decision-making process, then you need to approach it in a controlled and systematic way. It’s very tempting to just let your highly paid data scientists run wild, trusting that their analytical skills will deliver something useful. However, building a decision-making infrastructure based on predictive analytics is just like any other sort of project, whether it be building a new office building, setting up an IT data center, refitting a factory or restructuring an organization. Only a fool would hire a team of builders and let them lose on a greenfield site without an architect having drawn up the plans first, or think that a II their IT problems are solved just because they have bought a truck load of cutting edge hardware.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Notes
West, D, Dellana, S., and Qian, J. (2005). Neural Network Ensemble Strategies for Financial Decision Applications. Computers e> Operations Research 32: 2543–559.
Zhu, H., Beling, P. A. and Overstreet, G. (2001). A Study in the Combination of Two Consumer Credit Scores. Journal of the Operational Research Society 52(9): 974–80.
Banasik, J., Crook, J. N., and Thomas, L. C. (1996). Does Scoring a Sub-Population Make a Difference? International Review of Retail Distribution and Consumer Research 6:180–95.
Copyright information
© 2014 Steven Finlay
About this chapter
Cite this chapter
Finlay, S. (2014). The Predictive Analytics Process. In: Predictive Analytics, Data Mining and Big Data. Business in the Digital Economy. Palgrave Macmillan, London. https://doi.org/10.1057/9781137379283_7
Download citation
DOI: https://doi.org/10.1057/9781137379283_7
Publisher Name: Palgrave Macmillan, London
Print ISBN: 978-1-349-47868-2
Online ISBN: 978-1-137-37928-3
eBook Packages: Palgrave Business & Management CollectionBusiness and Management (R0)