The increasing use of computer technology in many areas of economic, scientific and social life is resulting in vast collections of digital data. These data pools can be used to obtain a higher quality of information than that obtained from simple database inquiries. This is where data mining comes in.
With data mining techniques, it is possible to "mine" data pools for "hidden" knowledge. Data mining provides a major competitive advantage in view of the key role played by knowledge and knowledge management in the development of future markets.
The course will provide an overview of data mining processes including critical success factors and practical examples.
Delegates will gain a basic understanding of Data Mining and its main methods, including Data Marts, Data Quality, Predictive Modelling, Scorecards and Association Analyses.
What is Data Mining? How does it differ from other analytical methods?
Data Mining methods - a general overview
The Data Mining process – how to find the “nuggets” in data
Practical example based on data from an SME Customer Loyalty Programme
Using Data Mining methods to predict buying probabilities
Using Data Mining methods to optimise cross-selling.
Those working in Industry and Retail, whose work involves making predictions and analysing business trends based on internal data (for example from customer loyalty programmes); anyone interested in Data Mining and database marketing.
For details of registration fees, please visit our website http://www.rss.org.uk/courses