SAS

Founded by James Goodnight in 1972

Analyze and visualize complex data to support business decisions.

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

Slack

HubSpot

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