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SAS Visual Analytics and SAP Lumira [EOL] compete in the analytics solutions category. SAS Visual Analytics appears to have an advantage due to its robust data integration capabilities, although SAP Lumira offers noteworthy visualization despite being at end-of-life.
Features: SAS Visual Analytics offers predictive analytics, comprehensive data handling, and an ecosystem approach for tool integration. It also provides ease in developing reports, which can be accessed and managed efficiently. SAP Lumira stands out for its intuitive data visualization, the ability to integrate with SAP sources, and geo map features, allowing for dynamic real-time visualizations.
Room for Improvement: SAS Visual Analytics could improve in offering a more user-friendly interface for non-technical users, reduce the learning curve for beginners, and enhance its real-time data processing capabilities. SAP Lumira needs better support due to its end-of-life status, improved scalability options, and an updated feature set to keep pace with current market needs.
Ease of Deployment and Customer Service: SAS Visual Analytics provides cloud-based deployment with strong customer service, facilitating scalability and maintenance for enterprises. SAP Lumira allows simpler on-premises deployment but lacks the ongoing support and updates from its developers due to being discontinued.
Pricing and ROI: SAS Visual Analytics involves a higher setup cost but promises significant ROI through scalable and comprehensive features. SAP Lumira's lower initial cost results in reduced long-term value due to limited support and updates, affecting its functional longevity.


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 4 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 10 |
| Large Enterprise | 19 |
SAP Lumira [EOL] is a comprehensive tool for creating detailed visualizations and dashboards. It's valued for its geospatial capabilities, handling large datasets, and seamless SAP integration, providing real-time data visualization.
SAP Lumira [EOL] is recognized for its ability to merge data efficiently and connect with SAP HANA, enhancing self-service analytics. Its geo mapping and data storytelling allow users to analyze and present data dynamically. Despite its strengths, users express a need for improved visualization flexibility and easier data integration across platforms. Connectivity issues and the demand for more intuitive interfaces indicate areas for enhancement. The platform's ability to integrate data from external sources positions it as a versatile tool across departments such as procurement, planning, and finance.
What are the key features of SAP Lumira?SAP Lumira finds use across sectors, including HR, finance, and procurement. It helps create tax-related dashboards and integrates external data like Workday for enhanced displays, demonstrating its application in planning, production, and reporting.
SAS Visual Analytics offers rapid data processing and advanced forecasting with interactive reporting and visualization. It integrates with diverse data sources, enhancing scalability and automation, enabling data-driven decisions and extensive insight generation.
SAS Visual Analytics provides comprehensive data handling through its advanced reporting and visualization features. Businesses benefit from its ability to process data quickly and deliver insights via interactive dashboards and well-structured reports. Although it faces performance challenges with large datasets and has a complex installation process, it supports both cloud and on-premises deployments. Users can leverage its capabilities in data extraction, transformation, and loading, making it a valuable tool for finance, statistical analysis, and enterprise reporting. Despite some gaps in machine learning and integration with newer data stores, its scalability and flexibility in data management remain key advantages.
What are the most significant features of SAS Visual Analytics?SAS Visual Analytics is implemented across sectors such as insurance and education for tasks like building dashboards and performing business intelligence. It is extensively used in finance and statistical analysis, turning complex data sets into actionable insights, supporting both cloud and on-premises environments.
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