SAS Augmented Analytics & Business Intelligence Features

Reports (5)

Reports Interface: Based on 47 SAS Augmented Analytics & Business Intelligence 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 45 SAS Augmented Analytics & Business Intelligence 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 46 SAS Augmented Analytics & Business Intelligence reviews and verified by the G2 Product R&D team. Offers a variety of attractive graph and chart formats.
Score Cards: As reported in 29 SAS Augmented Analytics & Business Intelligence reviews. Score cards visually track KPI's.
Dashboards: Based on 44 SAS Augmented Analytics & Business Intelligence 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 48 SAS Augmented Analytics & Business Intelligence 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 48 SAS Augmented Analytics & Business Intelligence 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 47 SAS Augmented Analytics & Business Intelligence reviews and verified by the G2 Product R&D team. Users can drill down and explore data to discover new insights.
Collaboration / Workflow: Based on 42 SAS Augmented Analytics & Business Intelligence 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 37 SAS Augmented Analytics & Business Intelligence reviews and verified by the G2 Product R&D team. Tool automatically suggests data types, schemas and hierarchies.

Predictive Analytics: As reported in 33 SAS Augmented Analytics & Business Intelligence reviews. Analyze current and historical trends to make predictions about future events.
Data Visualization: Based on 46 SAS Augmented Analytics & Business Intelligence 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 33 SAS Augmented Analytics & Business Intelligence reviews and verified by the G2 Product R&D team. Ability to handle large, complex, and/or siloed data sets.

Data Transformation: Based on 26 SAS Augmented Analytics & Business Intelligence 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 26 SAS Augmented Analytics & Business Intelligence 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 23 SAS Augmented Analytics & Business Intelligence 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: Based on 20 SAS Augmented Analytics & Business Intelligence reviews and verified by the G2 Product R&D team. 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.

Connectors: Based on 11 SAS Augmented Analytics & Business Intelligence 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 12 SAS Augmented Analytics & Business Intelligence 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 12 SAS Augmented Analytics & Business Intelligence 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 12 SAS Augmented Analytics & Business Intelligence 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 11 SAS Augmented Analytics & Business Intelligence 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