THE METRIC STONE EXPERIENCE

A clearer view. A closer look.

Real interfaces. Real analytical output. Every example here comes from Metric Stone itself and uses synthetic, non-sensitive data.
Actual Metric Stone dashboard showing revenue KPI and regional comparison; synthetic data.
Actual Metric Stone dashboard showing revenue KPI and regional comparison; synthetic data. Detail crop for narrow screens.
Revenue overview / A saved KPI and a regional bar chart bring different views of an analytical result together.
01 / FIND THE RIGHT VIEW

Let the question shape the chart.

Actual saved visualization editor with bar, line and KPI choices, a selected revenue measure and regional bar chart; synthetic data.
Actual saved visualization editor with bar, line and KPI choices, a selected revenue measure and regional bar chart; synthetic data. Detail crop for narrow screens.

Compare with purpose.

A bar chart makes differences between regions legible. The author chooses the measure and dimension; the renderer does not invent aggregation.

Keep the data close.

The visual is connected to a saved, authorized analytical definition. Result limits and completeness remain part of interpreting the view.
02 / MAKE THE STEPS VISIBLE

A recipe you can follow.

The ordered steps on the left show how the sales records are cleaned. The result table on the right makes it possible to inspect the outcome before saving the recipe.
This is the actual visual-only Sales cleanup workflow, not a rendering of a proposed feature.
Genuine visual preparation interface: normalize text, change data type, fill NULL values, remove duplicates and sort rows.
Genuine visual preparation interface: normalize text, change data type, fill NULL values, remove duplicates and sort rows. Detail crop for narrow screens.
03 / GO DEEPER WITH SQL

The query and its answer, in one place.

Genuine PostgreSQL SQL editor showing approved database objects, a read-only query and regional result table.
Genuine PostgreSQL SQL editor showing approved database objects, a read-only query and regional result table. Detail crop for narrow screens.
The workbench connects an explicit question to inspected objects and actual result rows. Queries are governed, read-only and bounded. This synthetic example does not establish production-provider certification.
04 / REFINE THE QUESTION

Change the view with context intact.

Actual dashboard category and inclusive calendar-date filters, with saved defaults and explicit mappings; synthetic data.
Actual dashboard category and inclusive calendar-date filters, with saved defaults and explicit mappings; synthetic data. Detail crop for narrow screens.
Choose a region and calendar dates, then apply eligible mapped filters. Temporary selections preserve saved defaults. This is dashboard filtering; chart-click cross-filtering and drill-down are future work.
PRODUCT IN DEVELOPMENT
Metric Stone BI is being developed by Index Forward. The interfaces shown use synthetic data. Commercial availability, hosted access and public downloads have not been announced.
A CLEARER PERSPECTIVE

Start with the question that matters.

Explore how your data, analytical questions and working practices could fit Metric Stone.