Data Analyst
All
Data Engineer
Data Analyst
Data Scientist
Data Modeller
DevOp
All
Data Engineer
Data Analyst
Data Scientist
Data Modeller
DevOp
Data Analyst
“I want a strong understanding of my data, with instant meaningful business insights”
Coding and Workflow
- Intuitive point-and-click tools
- SAS language support
- Open source language integration
- Data discovery and profiling
- Code generation
Three reasons why Data Analysts need WPS Analytics…
Reduce the cost of creating and running new and existing SAS programs
Use workflow with drag-drop, point-and-click nodes.
Or, write SAS language programs with support for macros, graphing, statistical analytics, time series analysis, matrix programming and machine learning.
Introduce open source languages into your analytics platform
Combine the best of the SAS language with open source languages in your programs.
Enhance workflows with code blocks written with open source and SAS languages.
Reduce the time of the analytical lifecycle
Use point-and-click data profiling to quickly discover and generate insights from your data.
Generate deployment code automatically from a workflow.
Collaborate with peers and share code to ensure best practices.