There are a large number of techniques which can be used for data

mining and statistical analysis. We pride ourselves in choosing the

technique which is most appropriate for a particular business

challenge, rather than always applying the same technology.

Techniques we use include:

- Bayesian Statistics (eg. Naive Bayes)
- Tree Based Methods (e.g. CART, Random Forests)
- Clustering Methods (e.g. Hierarcical Clustering, K-means)
- Neural Networks (e.g. Multi-Layer Perceptrons, RBF-Networks)

## Data Formats

We can read data in a wide variety of formats including

- Comma Separated Variable (CSV)
- Microsoft Excel
- SQL Database (e.g. Microsoft SQL Server, PostgresSQL, Oracle, MS-Access, MySQL and many others)

- SPSS
- rdata
- SAS

- Text files
- A large number of other statistical and data analysis formats