Data Mining: What we do

Bespoke Data Analysis
The best data analysis is tailored to an individual organisation, because the key variables to analyse (and the key questions to be answered) will differ from one organisation to the next. Standard research can provide general, interesting information but will not necessarily deliver the wisdom of bespoke analysis, which ensures that the questions raised by an organisation’s particular set of circumstances are answered.

Data Mining Principles
Our approach is based on four principles that ensures you get practical answers to the questions that matter:
  • Business understanding: data mining starts with fact-find meetings to understand how your business works, what your objectives are and how analysis of data could help define solutions;
  • Good data analysis comes from good data: we spend considerable time working with the data before undertaking painstaking coding, cleaning and checking of data, including de-duplication of customer records and an assessment of data integrity;
  • Analysis and modelling of the data uses a variety of statistical methods, which are checked and evaluated before any conclusions are drawn;
  • Presentation of conclusions in practical, usable form that offers clear, actionable answers to the important questions for your organisation.
Any Kind of Data
We can undertake analysis on all sorts of data, including spreadsheets and box office data from any system, from simple extraction to detailed analysis of entire databases; working cross-platform and integrating data from a wide range of external sources. Wherever possible we extract full customer databases and transactional level data, meaning that we can drill down to answer very specific questions.

Any Questions Answered
The type of analysis undertaken will depend on the nature of the data and the specific objectives of the project, but could include some or all of the following:
  • Sales analysis, including but not limited to, overall sales and occupancy trends; plus income, price, yield and discount by: year, genre, day of week, etc.;
  • Price and discount analysis, modelling the cost benefit of promotional and concessionary discounting to aid decisions about their tactical value;
  • Customer behaviour analysis, including: frequency, churn rates, retention, spend, cross-over, party size, geographical location and segmentation;
  • Income modelling to demonstrate the impact of different pricing scenarios;
  • Management information tools to aid business planning.

For more information on any of our services or to discuss your specific requirements please email us or call 01223 242100.

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