Migrate to WPS Analytics
Why migrate?
SAS program migration
Open source consolidation
Cloud implementation
Why migrate?
- Run existing or new programs written in SAS language syntax without the need to install any third-party products
- ROI is often less than 12 months with typical cost savings of between 50% to 70% (based on customer feedback)
- Bridge the world of SAS language and open source languages, including Python, R and SQL
- Resolve governance need
- Deploy analytics via APIs on-demand and in real time
- Modernise and future-proof your analytics with a platform that embraces new technologies
Match, mix, modernise
Migration can be managed in phases or as a single project:
Match: A basic migration would match your current on-premise or mainframe architecture to run your existing SAS language programs
Mix: A more encompassing migration could take advantage of the ability to mix Python, R and SQL with SAS language
Modernise: Comprehensive architecture support allows you to modernise to the cloud, to a new on-premise platform, or even a hybrid of on-premise and cloud
More than just a SAS language environment
A platform for developers and business users of data analytics:
- Development tools for data engineering, data science, predictive modelling, with workflow and coding facilities
- Governance and centralised data access control for developers and business users of deployed analytics
- Deployment facilities for programs written in language of SAS, Python and R
- Deploy programs as RESTful APIs for shared on-demand use
- Independent users and groups with differing skill sets can collaborate and communicate via a single Workbench IDE/GUI
- Git integration provides code management and version control, between users and between development and deployment environments
- Handle expanding data volumes with connectivity for big data, mainframe, cloud and traditional data sources