SAS Visual Analytics provides a complete platform for analytics visualization, enabling users to identify patterns and relationships in data that weren’t initially evident. Interactive, self-service BI and reporting capabilities are combined with out-of-the-box advanced analytics so everyone can discover insights from any size and type of data, including text.
BI & Analytics Features
Platform
- Administration via Windows App
- Administration via Web Interface
- Live Connection to External Data
- Snapshot of External Data
- Multi-Data Source Reporting (Blending)
- ETL Capability
- ETL Scheduler
Supported Data Sources
- MS Excel Workbooks
- Text Files (CSV, etc)
- Oracle
- MS SQL Server
- IBM DB2
- PostgreSQL
- ODBC
- Cloudera Hadoop
- Hortonworks Hadoop
- EMC Greenplum
- IBM Netezza
- HP Vertica
- SAP Hana
- Teradata
- Salesforce
- SAP
- Google Analytics
Standard Reporting Features
- Customizable dashboards
- Report formatting templates
Ad-hoc Reporting Features
- Drill-down analysis
- Output formatting
- Predictive modeling
- Report sharing & collaboration
Report Output & Scheduling Features
- Publish to Web
- Publish to PDF
- Output raw supporting data
- Report delivery scheduling
Data Discovery & Visualization Features
- Multiple pre-built visualization formats (heatmaps, scatter plots, etc.)
- Location analytics/geographic visualization
- Predictive analytics
- Machine learning models
- Pattern recognition & data mining
- Integration with R/other statistical packages
Access Control and Security Features
- Multi-user support (named login)
- Role-based security model
- Multiple access permission levels (Create/Read/Delete)
- Report-level access control
- Table-level access control (BI-layer)
- Row-level access control (BI-layer)
Mobile Capabilities
- Responsive design for web access
- Dedicated iOS application
- Dedicated Android application
- Dashboard/Report/Visualization mobile interactivity
Additional Features
- SAS Visual Analytics also includes web-based self-service data preparation, text analytics, forecasting, pathing, prescriptive and descriptive analytics.