WPS Analytics

A powerful and versatile software platform
for scalable data manipulation and analytics

Processing engine incorporating a built-in SAS language compiler with the flexibility to mix open source languages into a single program
Access multiple data sources, including big data
WPS overview
Use standalone or with enterprise management facilities including data access control and model deployment to on-demand APIs
Flexible deployment to link on-premise, mainframe and cloud environments

One unified analytics platform

Build data-focused applications using visual workflows and coding. Data science, ETL, predictive modeling, data mining, algorithm and API development


Workbench

An intuitive user interface for analysts and data scientists with visual workflows, mining, modeling and coding tools for beginners to advanced users. Powered by a high-performance data Processing Engine, the Workbench can be used as a standalone solution on your PC, or connected to a centralized WPS Analytics infrastructure on a server or cloud platform


Hub

Centralized control for data access, model and program deployment and analytics API publishing for on‑demand and real-time scoring


Processing Engine

An ultra-robust, scalable back-end to the WPS Analytics platform, that connects to data and runs programs, workflows and models in development and production. With a built-in SAS language compiler the Processing Engine can run applications that mix the languages of SAS, SQL, Python, and R


Jupyter Kernel

Use SAS language in Jupyter Notebook environments

Who uses WPS Analytics?


Access old and new data

WPS Analytics is designed to handle large data volumes and includes data access to all data sources, including Hadoop, data warehouses, databases, SAS and WPS datasets, Excel spreadsheets, SPSS, web data, JSON and XML


Flexible deployment

Choose a deployment architecture that fits now, with options to adapt and enhance easily in the future. Desktop, server, mainframe, datacenter, cloud


From basic to advanced in one platform

  • Coders can mix the languages of SAS, SQL, Python and R
  • Non-coders can use a drag-and-drop workflow
  • Coders can extend workflows with code blocks
  • Create repeatable ETL and data prep processes
  • Interactive modeling tools
  • Scorecard building
  • Collaboration for sharing workflows between different groups and skill sets

ROI within 12 months*

Maximize your ROI and minimize TCO. With easy implementation and migration, let your data grow with the confidence that costs remain will under control whilst the platform continues to scale

*Approximation based on customer feedback

Free 30‑day trial of WPS Analytics