SAS

Analyze and visualize complex data to support business decisions.

Founded by: James Goodnightin 1972

Analyze and visualize complex data to support business decisions.

Founded by: James Goodnightin 1972

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.

Integrations

Slack

HubSpot

Use Cases

Perform complex statistical analyses

Develop predictive models for business forecasting

Visualize data trends and patterns

Manage and clean large datasets

Implement machine learning algorithms

Generate detailed business reports

Standout Features

Advanced statistical analysis

Data mining capabilities

Machine learning tools

Comprehensive data management

Customizable reporting

Industry-specific solutions

Tasks it helps with

Import and export data from multiple sources

Clean and preprocess datasets

Run statistical tests and analyses

Create data visualizations and dashboards

Build and validate predictive models

Deploy machine learning algorithms

Who is it for?

Data Analyst, Data Scientist, Machine Learning Engineer, AI Research Scientist, Business Analyst, Financial Analyst, Risk Analyst, Market Research Analyst, Operations Manager, IT Project Manager

Overall Web Sentiment

People love it

Time to value

Requires Expertise

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