SAS Visual Analytics: A Powerful Data Visualization and Reporting Tool

SAS Visual Analytics is a comprehensive business intelligence platform that empowers users to explore, analyze, and visualize data effectively. It combines interactive reporting, visual discovery, and self-service analytics in a single, powerful in-memory environment. This allows users of all skill levels to uncover valuable insights and make data-driven decisions.

Key Features

• Interactive Reporting: Create stunning interactive reports and dashboards to summarize key performance indicators (KPIs) and share them across various devices.
• Visual Discovery: Quickly identify important relationships in your data using suggestions and clearly identified related measures. The platform uses machine learning to highlight key relationships, outliers, and clusters.
• Self-Service Analytics: Perform automated forecasting, goal seeking, scenario analysis, and more, without needing extensive technical expertise.
• Augmented Analytics: Uncover hidden stories in your data with automated suggestions and related measure identification. Natural language explanations make insights easy to understand and explain.
• Data Access and Preparation: Access, profile, cleanse, and transform data using an intuitive interface with embedded AI capabilities.
• Scalability and Governance: The platform offers robust scalability and governance features to manage large datasets and ensure data quality.
• Text Analytics: Gain insights from social media and other text data, analyzing sentiment and identifying key themes.
• Location Analytics: Combine traditional data sources with location data for geographical context analysis.
• Embedded Insights: Embed individual visual insights or entire reports into custom web applications for seamless integration.
• Mobile Accessibility: Access and interact with reports and dashboards on iOS and Android devices.
• Open Integration: Integrate with third-party JavaScript libraries (like D3 and C3) and leverage REST APIs for flexible development.
• Cloud Native Architecture: SAS Viya's cloud-native architecture ensures optimal performance and scalability in various cloud environments.
• Microsoft 365 Integration: Seamlessly integrate with Microsoft 365 applications for enhanced collaboration and decision-making.

Use Cases

SAS Visual Analytics finds applications across numerous industries, including:

• Public Health: Emerging disease surveillance and forecasting.
• Utilities: Water consumption and quality monitoring.
• Retail & Consumer Goods: Retail performance analysis and data-driven decision-making.
• Manufacturing: Warranty analysis to identify potential issues.
• Banking: Holistic view of risk and performance across various levels.

Comparisons

Compared to other business intelligence tools, SAS Visual Analytics stands out due to its comprehensive feature set, strong augmented analytics capabilities, and seamless integration with other SAS products. While some competitors may offer specific features more prominently, SAS Visual Analytics provides a holistic solution for data visualization, analysis, and reporting needs.

Conclusion

SAS Visual Analytics is a powerful and versatile tool for organizations seeking to leverage data for better decision-making. Its intuitive interface, advanced analytics capabilities, and robust integration options make it a valuable asset for businesses of all sizes.