SAS Visual Analytics Overview
SAS Visual Analytics is a powerful, self-service analytics solution designed to help users visually explore data, create interactive reports, and share insightful visualizations. This platform is tailored to empower both business analysts and executives to make data-driven decisions quickly and efficiently.
Key Capabilities
Data Exploration and Visualization
SAS Visual Analytics enables users to visually explore their data and create smart, interactive visualizations and reports through a single interface. It supports a wide range of visualizations, including box plots, heat maps, animated bubble charts, network diagrams, correlation matrices, and more. These visualizations help in identifying key relationships, outliers, clusters, and other critical insights within the data.
Augmented Analytics
The platform leverages machine learning and natural language explanations to uncover hidden stories and insights in the data. It automatically suggests related measures and provides clear explanations, making it easier for users to understand and act on the insights derived from their data.
Predictive Analytics
SAS Visual Analytics includes advanced analytics capabilities such as predictive modeling, machine learning, and statistical analysis. These tools allow users to assess possible outcomes, forecast trends, predict customer behavior, and manage risks without requiring programming skills. The software automatically selects the most appropriate forecasting model and provides forecasting confidence intervals.
Location Analytics
The platform integrates traditional data sources with location data, enabling geographical analysis. This feature allows users to analyze data in a geographical context, including travel time, travel distance, and demographics data enrichment through Esri integration. Geographical map views and network diagrams help in understanding geospatial data and identifying location-specific opportunities.
Collaboration and Sharing
SAS Visual Analytics facilitates seamless collaboration and sharing of insights. Users can create and share interactive reports and dashboards via the web and mobile devices. Report consumers can modify calculation parameters, change chart types, and apply filters to see the most relevant information. The platform also allows embedding individual visual insights or entire reports into custom web applications and Microsoft 365 tools like Excel and Outlook.
Mobile Access
The solution provides native mobile apps for iOS and Android, enabling users to view and interact with dynamic reports and dashboards on tablets and smartphones. This ensures that key decision-makers can access real-time data and make informed decisions from anywhere.
Natural Language Processing (NLP)
SAS Visual Analytics includes NLP capabilities, allowing users to interact with data using natural language. This feature makes querying data more intuitive, enabling users to ask questions and receive relevant visualizations in response.
Integration and Customization
The platform supports open integration with third-party JavaScript libraries such as D3 and C3, allowing developers to add custom interactive visualizations. It also provides REST APIs for accessing SAS analytics, data, and services from any client language.
Additional Features
- Self-Service Analytics: Automated forecasting, goal seeking, scenario analysis, decision trees, and more are available at the user’s fingertips, regardless of their skill level.
- Scalability and Governance: The platform operates in a single, powerful in-memory environment, ensuring scalability and robust governance.
- Language Support: SAS Visual Analytics supports a wide range of languages, including English, Spanish, French, German, Italian, and many others, making it a global solution.
In summary, SAS Visual Analytics is a comprehensive analytics tool that combines data exploration, advanced analytics, and interactive visualization to help organizations uncover valuable insights and make informed, data-driven decisions. Its user-friendly interface, advanced features, and mobile accessibility make it an indispensable tool for businesses seeking to leverage their data effectively.