Used by many businesses for managing large quantities of data, It combines a powerful data management backend with a comprehensive suite of statistical analysis tools.
Considered by many as the gold standard for data processing. Although SAS datasets can be used as the primary data store, optional SAS components allow you to connect to a wide variety of data sources.
Commonly businesses will have a backend in a traditional relational database (DB2, Teradata, Oracle, SQL Server) and use SAS to pull extracts from this into a datamart designed for a specific purpose
such as business performance reporting, marketing campaign analysis, credit risk / exposure montoring, customer profiling, process monitoring / fault detection.
Typical scenarios we can resolve for you are:
- how to build your new SAS system
- how to split work between the backend database and SAS system for best peformance
- creating new reports
- identifying and fixing data quality issues
- integrating with other reporting systems (e.g. Microstrategy, Tableau, Excel)
- incorporating new data feeds, merging data from multiple sources
- improve the performance of your legacy system using SAS9 features (e.g. hashes, proc fcmp, proc proto)
- fuzzy matching, building a single customer view
- using SAS/STAT for model building and supervised (e.g. linear regression, logistic regression, random forests)
- research using unsupervised learning (e.g. clustering, factor analysis)
We can help you develop your existing system to get the best from your backend database and SAS system, or if you're starting from scratch, help you get up and running quickly.
Previous clients have been in the Banking, Retail, Marketing and Government sectors. Contact us to discuss your project.
The SAS language is very idiosyncratic. It can be hard for programmers from other backgrounds to get to grips with. If you're looking for a quick primer on the SAS lanuage and it's capabilities click here.
