Use SQL and R to analyze your data and create beautiful, interactive dashboards for your entire company in few minutes.
RapidViz, a powerful cloud analytics platform, is designed to help businesses analyze, visualize, and share data effortlessly using SQL and R. With the ability to create interactive dashboards in minutes, monitor KPIs in real time, and receive smart alerts, RapidViz empowers teams to make data-driven decisions with confidence. Features like AI-assisted reporting, secure database connections, and intuitive collaboration tools make it the go-to solution for startups and enterprises alike.RapidViz transforms raw data into actionable insights, driving growth and engagement across organizations
Automate your VOE survey analysis with RapidViz to quickly and accurately identify sources of employee disengagement at your organization.
Simply share dashboards via a secure sharing link. With that link anyone can directly access
the dashboard without having to log in.
• Select Dashboard
• Access Sharing/Export Options
• Generate Shareable Link
• Set Permissions and Expiry (if available)
• Copy the Link
• Share the Link
• Security Considerations
It sounds like RapidViz
offers a database almanac feature that allows users to explore datasets in detail and
provides automatic suggestions for visualizing the data.
• Access the Database Almanac
• Explore Datasets
• Search for Specific Data
• View Data Details
• Automatic Visualization Suggestions
• Further Analysis
The ability to run custom R scripts on top of your SQL queries in RapidViz
is a powerful feature, especially for advanced data analysis and visualization.
• Prepare Your SQL Query
• Integrate SQL Query Results with R
• Access the R Scripting Environment
• Security and Compliance
• Run the R Script
• Interpret the Results
• Refine and Iterate
• Security and Compliance
The statement you provided emphasizes the security measures in place for protecting data
within a system, both when it is being transmitted and when it is stored. Let's break down
what this typically means:
• Data Protection in Transit
• Data Protection at Rest
• Application to Analytical Queries and Account Data
• Compliance and Standards
• Continuous Monitoring and Updating
The statement highlights the capabilities and security measures in place for database
connectivity. Here's a breakdown:
• Database Compatibility
• Connection Security:
• Encrypted Agent Connection:
• SSH Tunneling:
• Firewall Rules: