Data scientists

Higher productivity with tools that make it easy to focus on the problem


WPS Analytics has a workflow perspective with tools for data scientists:

  • Drag-and-drop, interactive workflow canvas
  • Data retrieval, blending and preparation
  • Data discovery and profiling
  • Predictive modelling
  • Machine learning
  • Model performance validation
  • Scorecards


Start by blending and preparing data, and then share the workflow with another data scientist to build, explore and validate reproducible, predictive models

Connect a workflow to data

Use many data sources, including Hadoop, data warehouses, databases, datasets, data files, spreadsheets, websites and more

Enhance workflows with code blocks

Insert programmable nodes into a workflow to code in the languages of SAS, SQL, Python and R

Error-free code for production use

Auto-generate code from models you create in a Workflow, ready for deployment to production environments

Full-lifecycle data analytics

WPS Analytics provides a single consolidated environment for the full data analytics lifecycle