Solving Operational Business Intelligence with InfoSphere Warehouse Advanced Edition

Chapter 10. Techniques for data mining in an operational warehouse 393

10.4.2 Breakdown by cluster report

Figure 10-19 shows a more detailed breakdown of income by cluster can be

seen in the next report.

Figure 10-19 Income breakdown by cluster and profile

This report presents a further breakdown of the customer clustering by two

profile categories: socio-economic category and age group. The data points for

each cluster-profile category tuple is shown both in a cross-tab form and as a

proportional bar graph. As with the earlier report, this type of visualization makes

it easy for a business analyst or manager to quickly identify the customer group

of interest to take some action or decision on that group.

The user and analyst of these reports does not see specifically the delineation of

what data is generated by mining methods and what information is generated by

other means or data collection. These examples demonstrate how data mining

methods and results can be easily integrated into Cognos 10 BI reports and

applications, thereby making the information consumable by the user or analyst

without requiring them to be data mining experts.

394 Solving Operational Business Intelligence with InfoSphere Warehouse Advanced Edition