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What is SAS Viya?

SAS Viya is a cloud-native analytics platform that lets you connect to data from multiple sources, then analyse and visualise it through interactive dashboards. It includes tools for statistical analysis, machine learning, and predictive modelling, making it useful for organisations that need to extract insights from complex datasets. The platform works on a freemium model, so you can start with basic features at no cost. It's designed for data analysts, business intelligence teams, and organisations that want to move beyond spreadsheets to more rigorous analytical work. SAS Viya integrates well with existing enterprise systems and supports both code-based and visual approaches to analysis.

Key Features

Data connection and preparation

import and combine data from databases, cloud services, and files

Interactive dashboards

create visualisations and reports that update with new data

Statistical analysis

perform hypothesis testing, regression analysis, and other statistical methods

Predictive modelling

build machine learning models for forecasting and classification tasks

Collaborative environment

share analyses and dashboards with team members across your organisation

Programming interfaces

write code in Python, R, or SAS language for custom analyses

Pros & Cons

Advantages

  • Handles large datasets efficiently without slowing down
  • Suitable for both beginners using visual tools and advanced users writing code
  • Free tier lets you try core features before committing to paid plans
  • Strong statistical and machine learning capabilities built in

Limitations

  • Can be complex to learn, especially for users new to analytics platforms
  • Free tier has limitations on storage, processing power, and advanced features
  • Requires some technical knowledge to get the most from it

Use Cases

Financial forecasting and risk analysis for banks and investment firms

Customer behaviour analysis and segmentation for retail and marketing teams

Quality control and process optimisation in manufacturing

Healthcare organisations analysing patient outcomes and operational efficiency

Supply chain optimisation and demand forecasting