SAS

Founded by James Goodnight in 1972

Analyze and visualize complex data to support business decisions.

Add to my stack →♡ Save for laterVisit www.sas.com ↗

Cost

Paid

Rating

★ People love it

Time to value

Requires Expertise

You can use SAS to manage and analyze large datasets, perform statistical analyses, create predictive models, and generate reports. It offers tools for data mining, machine learning, and artificial intelligence, helping you uncover insights and make informed decisions. SAS supports various industries, including finance, healthcare, and manufacturing, by providing solutions tailored to specific needs.

What SAS does

Import and export data from multiple sourcesClean and preprocess datasetsRun statistical tests and analysesCreate data visualizations and dashboardsBuild and validate predictive modelsDeploy machine learning algorithmsGenerate automated reportsIntegrate with other software and databasesAdvanced statistical analysisData mining capabilitiesMachine learning toolsComprehensive data managementCustomizable reportingIndustry-specific solutionsScalable architectureIntegration with various data sources

Tutorials & Demos

Frequently asked

What tasks does SAS help with?+

What are SAS's top use cases?+

What does SAS cost?+

What does SAS integrate with?−

SlackHubSpot

Who is SAS for?+

What are the best alternatives to SAS?+

Want a tailored answer?

See whether SAS fits your stack.

Techbible weighs SAS against what you already pay for, your team shape, and the work that's actually happening. Free to start.

Connect your stack →

More in Enterprise AI

All tools →

CTGT

Ensure AI models comply with company policies and regulations in real-time.

Akila Labs

Build enterprise AI systems and modernize cloud infrastructure.

Oximy

The system of record for enterprise AI usage.

Engram

Train AI models on your company's internal data and context