What it is?
Data analysis software using very accurate numerical methods to capture behaviour from different sets of data.
What it can do for you?
Analyse quantitative research data and give you a clear report on the behaviour shown by consumers.
Why is it different?
Accuracy and speed! The researchers working on MetaCause have developed a very high performance technique which can be automated in a simple piece of software.
The results are more accurate than cross-tabs, regression or any statistical technique, as the techniques used in MetaCause make no assumptions or simplifications about the data or its conditions. It reads and interprets the full data set cleanly, and can accurately characterise patterns from even noisy data sets.
What are the results like?
The emphasis of MetaCause is to provide clear and accurate information about the data you provide. MetaCause generates an HTML report clearly showing the factors which affect consumer decisions.
See if you can understand the factors important in the analysis of a single survey question on Leisure Spending:
Optimal settings - Consumer properties linked to HIGH leisure spending
Households of 2 are very strongly linked (60-80%) to high leisure spending
Settings to avoid - Consumer properties linked to LOW leisure spending
The patterns are weak and not reliable (40-50%), but may be of interest
The Clincher:
MetaCause does not just analyse one question at a time, it analyses data from all questions from the data set, isolating the effect of each parameter on each question by removing the noise generated by other questions and parameters.
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