SAS Visual Analytics

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Software Status:Active

About SAS Visual Analytics

SAS Visual Analytics is a data visualization software from SAS Institute Inc that helps organizations understand their data through analytics, reliable reporting, and mobile BI. It combines software features like data management, SAS Viya platform integration, and insights delivery to support better decision-making across teams. With its focus on user-friendly interfaces and comprehensive reporting capabilities, SAS Visual Analytics enables users to visualize complex data sets and derive actionable insights. Organizations can use its functionality for various data analytics tasks, ensuring that insights are accessible to all team members, regardless of technical skill level. Key capabilities: Data Management SAS Viya Platform Software Integration Reporting Tools Mobile BI Best for: organizations that need to improve data-driven decision-making.

SAS Visual Analytics Details

Vendor

SAS Institute Inc

Year Launched

1976

Location

100 SAS Campus Drive, Cary, NC 27513, US

Deployment

cloud, on premise, windows, linux, ios, android

Training Options

documentation, videos, live online, in person

Countries Served

All Countries

Languages

English

Users

Business Analysts, Data Scientists, Data Engineers, IT Administrators, Marketing Managers, Sales Managers, Operations Managers, Financial Analysts, HR Managers, Compliance Officers, Customer Service Managers, BI Developers

Industries Served

Healthcare, Education, Finance, Retail

SAS Visual Analytics's In-App Market Place

Does SAS Visual Analytics have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

N/A

Pricing Options

Free trial

Free version

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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr), CNY (¥), INR (₹), MXN (Mex$), BRL (R$)

Pros & Cons

1. Powerful Data Visualization: Enables users to create visually appealing and interactive dashboards to explore data and uncover insights.
2. User-Friendly Interface: Provides an intuitive interface that allows users to create reports and visualizations without extensive technical knowledge.
3. Collaboration Features: Facilitates collaboration among team members through commenting and sharing of visualizations.
4. Integration Capabilities: Integrates with various data sources, including open-source tools like R, to enhance data analysis capabilities.
5. Advanced Analytics: Offers advanced analytics features, such as predictive modeling and machine learning, for deeper insights.

1. Limited Open-Source Integration: Supports a limited number of open-source tools, which may restrict its flexibility for some users.
2. Outdated User Interface: The user interface may appear outdated compared to modern data visualization tools.