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SAS Visual Analytics Features
What are the features of SAS Visual Analytics?
Reports
- Reports Interface
- Steps to Answer
- Graphs and Charts
- Score Cards
- Dashboards
Self Service
- Calculated Fields
- Data Column Filtering
- Data Discovery
- Search
- Collaboration / Workflow
- Automodeling
Advanced Analytics
- Predictive Analytics
- Data Visualization
- Big Data Services
Data Modeling and Blending
- Data Filtering
Top Rated SAS Visual Analytics Alternatives
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SAS Visual Analytics Categories on G2
Filter for Features
Reports
Reports Interface | Based on 74 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Reports interface for standard and self-service reports is intuitive and easy to use. | 86% (Based on 74 reviews) | |
Steps to Answer | Based on 65 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Requires a minimal number of steps/clicks to answer business question. | 86% (Based on 65 reviews) | |
Graphs and Charts | Based on 76 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Offers a variety of attractive graph and chart formats. | 88% (Based on 76 reviews) | |
Score Cards | Based on 65 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Score cards visually track KPI's. | 85% (Based on 65 reviews) | |
Dashboards | Based on 75 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design, refine and collaborate on their dashboards | 87% (Based on 75 reviews) |
Self Service
Calculated Fields | Based on 74 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Using formulas based on existing data elements, users can create and calculate new field values. | 85% (Based on 74 reviews) | |
Data Column Filtering | Based on 74 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Business users have the ability to filter data in a report based on predefined or automodeled parameters. | 87% (Based on 74 reviews) | |
Data Discovery | Based on 70 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Users can drill down and explore data to discover new insights. | 84% (Based on 70 reviews) | |
Search | Based on 64 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Ability to search global data set to find and discover data. | 83% (Based on 64 reviews) | |
Collaboration / Workflow | Based on 67 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms. | 80% (Based on 67 reviews) | |
Automodeling | Based on 62 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Tool automatically suggests data types, schemas and hierarchies. | 79% (Based on 62 reviews) |
Advanced Analytics
Predictive Analytics | Based on 64 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Analyze current and historical trends to make predictions about future events. | 87% (Based on 64 reviews) | |
Data Visualization | Based on 73 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Communicate complex information clearly and effectively through advanced graphical techniques. | 90% (Based on 73 reviews) | |
Big Data Services | Based on 63 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Ability to handle large, complex, and/or siloed data sets. | 86% (Based on 63 reviews) |
Building Reports
Data Transformation | Based on 35 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Converts data formats of source data into the format required for the reporting system without mistakes. | 86% (Based on 35 reviews) | |
Data Modeling | Based on 33 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Ability to (re)structure data in a manner that allows extracting insights fast and accurate. | 81% (Based on 33 reviews) | |
WYSIWYG Report Design | Based on 25 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) | 83% (Based on 25 reviews) | |
Integration APIs | Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications. This feature was mentioned in 23 SAS Visual Analytics reviews. | 76% (Based on 23 reviews) |
Data Preparation
Connectors | Based on 53 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications. | 85% (Based on 53 reviews) | |
Data Governance | Based on 52 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data | 80% (Based on 52 reviews) |
Data Modeling and Blending
Data Querying | Based on 62 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Using formulas based on existing data elements, users can create and calculate new field values | 85% (Based on 62 reviews) | |
Data Filtering | Based on 67 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Business users have the ability to filter data in a report based on predefined or automodeled parameters. | 88% (Based on 67 reviews) | |
Data Blending | Based on 58 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Allows the user to combine data from multiple sources into a functioning dataset. | 84% (Based on 58 reviews) |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |
Agentic AI - Analytics Platforms
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Deployment & Integration - Analytics Platforms
No-code Dashboard Builder | Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces | Not enough data | |
Report Scheduling and Automation | Enables automated report generation and scheduled delivery to stakeholders | Not enough data | |
Embedded Analytics and White-labeling | Allows dashboards and analytics to be embedded into external apps with branding flexibility | Not enough data | |
Data Source Connectivity | Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications | Not enough data |
Performance & Scalability - Analytics Platforms
Large data handling and Query Speed | Efficiently processes large datasets with minimal lag and ensures high performance under load | Not enough data | |
Concurrent User Support | Maintains performance and uptime during high traffic from multiple users or teams | Not enough data |
Advanced Analytics & Modeling - Analytics Platforms
Data Modeling and Governance | Supports semantic data layers, role-based access controls, and metadata governance | Not enough data | |
Notebook and Script Integration | Integrates with Jupyter, Python, or R for custom analytics and modeling | Not enough data | |
Built-in Predictive and Statistical Models | Provides native tools for statistical analysis, forecasting, and trend prediction | Not enough data |
Agentic AI Capabilities - Analytics Platforms
Auto-generated Insights and Narratives | Uses AI to generate textual summaries, key takeaways, and data stories from dashboards | Not enough data | |
Natural Language Queries | Allows users to query data and build reports using conversational or plain language | Not enough data | |
Proactive KPI Monitoring and Alerts | Detects and notifies users about KPI anomalies or significant metric changes in real time | Not enough data | |
AI Agents for Analytical Follow-ups | Recommends next questions, analyses, or exploration paths using autonomous AI agents | Not enough data |
Personalized Intelligence - Analytics Platforms
Behavioral Learning for Contextual Query Refinement | Learns from historical user interactions to improve and personalize query results over time | Not enough data | |
Role-based Insight Personalization | Tailors dashboard views and suggestions based on user roles, access levels, and past behavior | Not enough data | |
Conversational and Prompt-based Analytics | Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying | Not enough data |
