Drag-and-drop dashboard builder
Build a view around the questions a team asks each week instead of maintaining scattered charts.
Products
Ruya Analytics
Bring the operational question into focus.
Ruya Analytics puts the question ahead of the chart. Your team needs to understand what a figure includes, when its source was updated and which action it supports. Start with the measures people use in their working day, then shape the filters and detail views around those decisions.
A dashboard should answer a small set of questions clearly.
Inside the workspace
Ruya Analytics: a closer look
Explore how the product could bring its tools and working records into one view. Review the workflow design during your product walkthrough.
Features & client solutions
What this helps your team solve
Connect each capability to a day-to-day task and a practical result your team can evaluate.
Native connectors to common data sources
Connect agreed source systems so reporting starts from repeatable data inputs.
Real-time data refresh
Show refresh status alongside metrics so viewers understand how current the information is.
Bring one example from your daily work. We can review the records involved, who owns each step and which integrations are needed before defining the implementation scope.
Discuss your workflowProduct fit
Ruya Analytics for the way your team works
We discuss the audience, metric definitions and drill-down needs before configuration. Visible filters and update times help users understand what they are looking at and whether the information is current enough for the decision.
Areas to assess in a walkthrough
- Drag-and-drop dashboard builder
- Native connectors to common data sources
- Real-time data refresh
- Shareable & embeddable dashboards
- Role-based access controls
In practice
Ruya Analytics: a practical example
Pick one operational question and trace the displayed figure back to its source. Change the date range and inspect the refresh time. A dashboard is useful when users understand what the number includes and how current it is.
An illustrative scenario to discuss when planning your project.From records to decisions
How your team works with Ruya Analytics
The people involved include analysts, department managers and data owners. Begin with a small, representative set of source tables, metric definitions, refresh schedules and access groups, then identify the decision or action each role needs to complete. This helps shape a useful first release and avoids collecting information that nobody uses.
Agree the meaning before presenting the result.
Two teams can use the same label for different measures. Confirm the calculation, source, reporting period and refresh timing before building the view. Make it possible to explain a result and identify missing or delayed inputs, so a dashboard supports a decision instead of hiding the assumptions behind it.
Implementation approach01 02 03 04
From agreed scope to everyday use
Review the starting point
Identify the current sources of source tables, metric definitions, refresh schedules and access groups. Check data quality, shared references and required fields before agreeing what will be migrated, connected or recreated.
Define roles and connections
Review the needs of analysts, department managers and data owners. Document permissions, required integrations, the authoritative system for each record and what happens when information cannot be exchanged.
Test an end-to-end case
Use safe sample data to trace a displayed metric back to its source and check its refresh time. Agree expected results, review exceptions and record acceptance decisions before widening access.
Prepare the operational handover
Name the configuration owner, change decision-maker and support contact. Plan training and documentation around ordinary tasks, then review early use under the agreed support arrangement.
Practical details
Questions before getting started
What should we bring to the first walkthrough?
Prepare examples of source tables, metric definitions, refresh schedules and access groups, with confidential details removed. Explain the step that takes the most effort or causes confusion, and identify who needs to review the result.
How do we decide whether it fits our work?
We define a scenario that lets your team trace a displayed metric back to its source and check its refresh time. Compare the result with the current process and document requirements and gaps before approving the implementation scope.
Can it connect to our existing systems?
The required systems and data sources are reviewed first. The integration plan covers access, field mapping, transfer timing and responsibility for errors. The proposal identifies included connections and any custom work needed.
How are pricing and support agreed?
The proposal considers features, users or workload, the operating environment, integrations and migration. Training, operational ownership and the support arrangement are agreed alongside the implementation scope.