|Rosella Predictive Knowledge & Data Mining|
Census Survey Data Analysis
Census and survey data analysis is vital part of modern day government and business activities. Normally, census is taken from a population, whereas survey is conducted on a sub-population. One common feature is that they often consist of many variables. Quantitative marketing research and socio-economic research survey data typically consist of dozens of questionnaires containing numerous demographic, geographic, and psychographic information.
Combinational Factor Analysis and Combinatorial Blowout!
It is common to see census and survey data consisting of many variables. Generally, more survey questions means more information to analyze. In conventional methods, analysts use visualization and statistical reporting tools. These tools can work on only a few variables at a time. When applied to data with many variables, the numbers of cases to be examined grow combinatorially to the numbers of variables. Therefore, thorough systematic accurate analysis of such data is all but impossible. General practice is to examine only variable combinations what experts think promising. However, intuition can omit important trends and patterns emerging. Better ways are needed for timely thorough systematic analysis! Hotspot analysis described in the following section can overcome this limitation.
Hotspot Profiling Analysis
The following figure shows an example of hotspot analysis output. Top-left is hotspot drill-down tree. Top-right shows detailed statistics of hotspots selected. Bottom left and right provide lift factor analysis.
For more information, click Hot spot Analysis.
Hotspot is a main feature of CMSR Data Miner. Download is available from Data Mining Software.
Thorough Systematic Accurate Analysis
The benefit that Hotspot analysis provides is that thorough systematic accurate analysis is possible instantaneously. This frees analysts from time-consuming statistical analysis processes and allows them to focus on interpretation of hotspots identified.