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:: STATISTICAL ANALYSIS ::
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 Analytical Framework |
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Sample Profiling |
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Sub-Group Analysis |
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Significance Testing |
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Key Driver Analysis |
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Gap Analysis |
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Analyze|Analytical Framework :: |
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 Statistical Reasoning takes a
systematic approach to
ensuring a thorough
and accurate examination of the data. |
Statistical analysis is the process of converting your raw data into usable information
through the application of basic and advanced statistical techniques.
Statistical Reasoning takes a systematic approach, or what we refer to as our
analytical framework, to ensuring a thorough and
accurate examination of your data. Such an analytical framework provides a
useful way of both planning the data analysis process, as well as
organizing the detailed findings in the research report.
While most every
project scenario will have different research objectives and analysis
requirements, in our experience, most would involve some levels of sample
profiling, sub-group analysis, significance testing, and key driver analysis.
Gap analysis could also be conducted if both importance and performance
variables are available.
First, sample profiles are generated for the entire
sample, as well as for any sub-groups that may be of interest.  Further
sub-group analysis is then conducted based on
demographic, geographic, psychographic, purchasing behaviour, and other
segmentation variables.
All the while, significant tests are executed to
determine whether observed differences occurred by change or represent a
systematic and real difference between the sample sub-groups.
Next, a preliminary key driver analysis is
conducted to determine the key issues/factors that impact customer response and
behaviour. Following, a performance evaluation is conducted to determine
the company's performance along these driver variables, and where appropriate,
relative to competitors.
Finally, gap analysis is then conducted to
prioritize allocation of resources to improving the most important yet poorest
performing factors.
Throughout the analysis process, Statistical Reasoning continually augments the analytical results with
current knowledge
and sound theory to interpret and generalize the findings. |
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| Contact us to discuss your project: info@statisticalreasoning.com. | :: Back to Top :: |
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