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SAS Viya

How the 8 leading AI assistants rank SAS Viya in business intelligence software.

16of 16
SAS Viya
sas.com
Recommended by 1 of 8 assistants
Recommendation6

How each AI ranks it

average position
  1. Copilot
    Copilot
    #8

What each AI said

CopilotCopilotranked #8

Some of the top business intelligence software widely used in 2026 include Microsoft Power BI, Tableau, Qlik Sense, Looker, and Domo, offering robust analytics, interactive dashboards, and integration capabilities for organizations of all sizes Gartner+2 . Top Business Intelligence Platforms 1. Microsoft Power BI Power BI allows users to visualize and share data insights across multiple sources through interactive dashboards and reports. Its integration with Microsoft 365 and other platforms makes it highly popular for enterprises seeking a familiar and scalable tool Gartner+1 . Key features include drag-and-drop analytics, prebuilt connectors, and AI-powered insights. 2. Tableau Tableau is renowned for advanced data visualization capabilities. It enables users to build interactive reports and dashboards that simplify complex datasets. Tableau excels for organizations emphasizing storytelling with data and intuitive visual exploration Gartner+1 . 3. Qlik Sense Qlik Sense allows associative exploration of data for creating interactive dashboards. Its self-service model enables business users to drill down into complex datasets and uncover hidden insights, supporting both on-premises and cloud deployments Gartner+1 . 4. Looker Looker, a Google Cloud platform, provides browser-based analytics for real-time data exploration. It supports building interactive dashboards and embedded analytics for teams, making it suitable for companies seeking centralized data management Gartner+1 . 5. Domo Domo is a cloud-native BI platform unifying data management, analytics, and automation. It is highly suitable for organizations that need real-time data aggregation, customizable dashboards, and collaborative analytics Gartner+1 . 6. Additional Notable Tools Amazon QuickSight: ML-powered insights, natural language queries, and fast performance 2 . Sisense: Handles large and scattered datasets effectively, providing complex analytics in a self-service environment 2 . SAS Viya: Cloud-native analytics with AI and data science capabilities, popular in finance and healthcare 2 . Zoho Analytics: Provides interactive reporting and dashboard creation with strong integration capabilities for small to medium businesses 2 . IBM Cognos Analytics: Enterprise-grade BI with reporting, visualization, and automated insights 1 . Key Features to Consider Dashboards and Visualization: Customizable, interactive graphs for monitoring KPIs. Self-service Data Prep: Enable end-users to access and transform data independently of IT. Advanced Analytics: Predictive modeling, AI/ML integration, and statistical analysis. Collaboration Tools: Share insights across teams securely with centralized management. Integration Capabilities: Connect to cloud and on-premises databases, ERP, CRM, and apps. Conclusion The best BI software depends on your organization's size, data complexity, and required analytics features. Power BI and Tableau are highly user-friendly for visualization, Qlik Sense and Looker excel in interactive exploration and centralized reporting, while Domo and Sisense support large-scale data integration and real-time analytics. Organizations should also consider trialing multiple solutions to determine which best fits their workflow, scalability needs, and budget expectations Gartner+2 .

Verbatim answers each assistant gave for “business intelligence software”, captured during the monthly refresh.

How this is measured

SAS Viya’s AI Recommendation Score (6/100) reflects how widely and often the 8 assistants recommend it for business intelligence software — share of voice and mention rate, plus how often AI cites its own site. Placement is determined solely by AI recommendation data; it reflects what AI recommends and is not an endorsement by CiteHawk.

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