SAS Visual Analytics Features

Reports (5)

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.
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.
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.
Score Cards: Based on 65 SAS Visual Analytics reviews and verified by the G2 Product R&D team. Score cards visually track KPI's.
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

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.
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.
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.
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.
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.
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.

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.
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.
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.

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.
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.
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)
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.

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.
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

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
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.
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.

Autonomous Task Execution: Capability to perform complex tasks without constant human input
Multi-step Planning: Ability to break down and plan multi-step processes
Cross-system Integration: Works across multiple software systems or databases
Adaptive Learning: Improves performance based on feedback and experience
Natural Language Interaction: Engages in human-like conversation for task delegation
Proactive Assistance: Anticipates needs and offers suggestions without prompting
Decision Making: Makes informed choices based on available data and objectives

No-code Dashboard Builder: Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces
Report Scheduling and Automation: Enables automated report generation and scheduled delivery to stakeholders
Embedded Analytics and White-labeling: Allows dashboards and analytics to be embedded into external apps with branding flexibility
Data Source Connectivity: Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Auto-generated Insights and Narratives: Uses AI to generate textual summaries, key takeaways, and data stories from dashboards
Natural Language Queries: Allows users to query data and build reports using conversational or plain language
Proactive KPI Monitoring and Alerts: Detects and notifies users about KPI anomalies or significant metric changes in real time
AI Agents for Analytical Follow-ups: Recommends next questions, analyses, or exploration paths using autonomous AI agents

Behavioral Learning for Contextual Query Refinement: Learns from historical user interactions to improve and personalize query results over time
Role-based Insight Personalization: Tailors dashboard views and suggestions based on user roles, access levels, and past behavior
Conversational and Prompt-based Analytics: Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying