PAL stats specialises in the statistical analysis of market research data. We have a vast range of statistical methods that we can apply to your data queries…

• We can identify hidden variables, Latent variables that cannot be measured directly with questions.
• The latent variable analysis provides the tools to identify groups of people or segments, where each person has similar attitudes or needs.
• In new product development, the value of attributes and levels for each consumer is determined, by considering a different combination of the attributes and levels, enabling the relative value (utility value) for each respondent.
• Correlation and Regression analysis can be used for prediction and forecasting and identifies key drivers of the metric of interest.
• S&K Analysis is our new method for finding out customer priorities

Some of the other methods we use are – Discriminant analysis / SIMALTO / AID / CHAID / SEM / Correspondence analysis and preference maps, product optimisation (inc. Conjoint & simulation), exploratory factor analysis, plus many others.

Data reporting and visualisation can make a huge difference as to whether an end user understands the results of a survey or not. PAL stats has experience in almost every data reporting and visualisation techniques used today. From the humble (or not so humble) Powerpoint presentation to interactive web-based dashboards of results, we have the necessary skills and experience.

Data reporting can become a tedious manual process when there are multiple similar pages or multiple similar reports for different regions or other entities. PAL stats can help by automating the reporting process to reduce manual production time and eliminate manual transcription errors.