AI dashboards connected to your data-science work

Build dashboards that make your data and model results easier to understand and use. Describe the question, connect project data and refine the view through conversation with OctOpus. Keep the charts close to the analysis behind them, from a first exploration to a recurring business review.

Begin with a question people need answered

Upload a table or connect an available source, then describe the audience and decision. Include the date range and measures that matter. For example: “Show revenue by region and explain the change from last quarter.” OctOpus uses the project data and your brief to build a focused analytical view.

Make the important measures readable

Bring totals, trends and comparisons into a dashboard that suits the question. Ask for groupings, filters and date comparisons that help people explore the result. Keep metric definitions with the supporting analysis so a viewer can understand what a rate, average or change represents and how it was calculated.

Refine the view through conversation

Change the time comparison, add a segment, replace a chart or simplify the layout for the audience. The dashboard workflow supports revisions and saved versions, so you can build on the current analysis. Keep the discussion in the project as the question develops and the view becomes more useful.

Bring observed and predicted results together

Use model predictions, experiment comparisons and evaluation metrics alongside observed data to explain a decision. A forecasting dashboard can show the historical series, future horizon and evaluation context. A risk dashboard can show score distributions and the threshold under discussion. Clear labels help viewers distinguish measurements from predictions.

Review the source and freshness

Check important totals against the source and confirm that the filters use the intended records. A saved dashboard may represent a computed snapshot; refresh or rebuild it through the supported source workflow when needed. Before sharing, review the audience and access settings as well as the data and model results displayed.

Turn an analytical view into a working product

A dashboard helps people explore and understand information. An app adds a user workflow around the data: entering information, calling a model, saving records or acting on a result. OctOpus offers both, so you can begin with analysis and build the product experience when the next step is clear.

Key capabilities

• Readable views of project data and model results.
• Conversational revisions and saved dashboard versions.
• Metrics, comparisons and filters connected to the analysis.
• A path from an analytical dashboard to a usable app.