SAS Visual Analytics

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.