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Advanced Analytics

Advanced statistical analysis to get more out of the data you already have, without the need for new fieldwork.

Many organisations sit on years of survey results, customer records, sales and operational data. Most of it is used for a single report and then set aside. We look at that data again, ask new questions and bring out relationships that are not yet visible.

We run the whole process end to end, from cleaning and structuring the data to modelling. Using methods such as segmentation, driver analysis, regression and classification models, we present the results not in technical language but in a form decision-makers can use.

Questions it answers

  • Which groups do our customers fall into, and what sets these groups apart?
  • Which factors drive satisfaction or preference the most?
  • What do the data we have collected over the years tell us?
  • Which customers are we most at risk of losing?
  • How can we bring together data from different sources?

Methods

  • Segmentation and cluster analysis
  • Driver analysis and regression models
  • Time series and trend analysis
  • Data cleaning and integration

Deliverables

  • Analysis report
  • Findings presentation
  • Cleaned and structured dataset
  • Methodology note

Typical duration 2–4 weeks

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