Amadeus Software prepare data for analytics. From formally designed data warehouses through data management to data marts structured specifically for repeatable analytics. We import, stream and integrate data from any source. We work with Big Data and simple data. We apply business rules, follow Master Data Management and support continual process improvement. We automate these processes as modular, structured SAS jobs for data sets readily prepared for analytics.
SAS Data Quality
Data quality is key to analytics. Amadeus Software profile data, then employ standardisation and entity resolution techniques to cleanse data. We automate data remediation and monitor data quality improvement through time.
From ad-hoc data sources, through ad-hoc queries to tabulations, summary statistics, inferential statistics to forecasting. We provide repeatable, automated insight to the right people at the right time.
Amadeus Software explore, understand and tell the story your data tells through interactive, linked visuals and tabulations to your web browser, mobile device or Microsoft Office applications.
We follow Good SAS Programming Practices through modularly structured SAS programs and macros for Base SAS, SAS/STAT, SAS/GRAPH, SAS/ETS, SAS/QC, SAS/OR, SAS/SHARE, SAS/CONNECT, SAS/ACCESS interfaces, SAS/IML and several other SAS products such as SAS JMP.