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This page is for anyone who reads and explores a dashboard someone has built. You don’t need to know how a dashboard was made to get value from it.
You’ll see a dashboard in your list if you have the View Reporting Dashboards permission and belong to a user group it was shared with. If a dashboard you expect is missing, check that you have both — ask an administrator about the permission, and whoever built the dashboard to add your group.

Open a dashboard

Open Reporting from the navigation and pick a dashboard from the side navigation. Dashboards are grouped there by category — with an Uncategorized group for the rest — so related dashboards sit together. Use Back to dashboards in the header to return to the list. Some dashboards ask for a few values before they load — an Enter parameters prompt appears, you fill it in, and the dashboard opens scoped to what you entered. Reopen it with Change parameters in the header to try different values. A parameter can be a free value (text, a number, a date, yes/no) or a pick from a list of document type groups or document types — the list only offers what you are allowed to view, and a document type list may narrow to the group you picked just above it.
A Nobly Insight reporting dashboard in the viewer, showing the title, freshness, date range, refresh and export controls, value cards, and charts.

A dashboard in the viewer, with the header controls along the top.

The header controls

Along the top of every dashboard:
  • Filters — dropdowns the dashboard’s builder added, if any (see Filter by value).
  • Date range — scopes the whole dashboard to a window (see below). A dashboard can be built without it.
  • Refresh — reloads the latest data for every element on the page.
  • Export all — downloads an Excel workbook containing every table on the dashboard, scoped to the active filters and date range.
  • Freshness — Updated … shows when the underlying data was last refreshed. Each element also carries its own freshness indicator.

Scope by date range

The date range control applies to every element at once. Choose a preset:
  • All time
  • Last 7 days, Last 30 days, Last 90 days
  • This month, This year
  • Custom range — pick your own start and end dates.
Each element finds its own date column and keeps only the rows inside the window. Elements that have no date column are left unchanged. The selected range is kept in the page address, so a link you copy reopens with the same range.
The date range dropdown open in the dashboard header, showing the preset options.

Choosing a date range scopes every element on the dashboard.

Trend value cards always compare their own configured period (for example, this month versus last month) and ignore the date range control. They do follow the filter dropdowns.

Filter by value

A dashboard can have filter dropdowns in its header, such as a status or a department. Each shows Any until you pick values, then how many you picked. Choosing values narrows every element that uses the same data as the dropdown:
  • Where a dropdown allows several values, a row matching any of them is kept. Several dropdowns combine, so a row must match each of them.
  • A blank value is listed as (empty). When a column holds more than 500 different values, only the first 500 are offered and the dropdown says so.
  • Clear filters removes every choice at once. Filters that start with a value chosen by the dashboard’s builder stay cleared until you choose again.
  • Your choices are kept in the page address, so a link you copy reopens the dashboard filtered the same way. If you pick so many values that the link would be too long, the dashboard asks you to narrow the selection.
  • On a dashboard that asks for parameters, the dropdowns become available once you have entered them.
Some elements are built to ignore the filters and always show their full data, for example a total to compare with.
A dashboard header with a Status filter showing 2 selected, with In review and Waiting for customer as badges, a Department filter set to Legal, Clear filters, and the date range. Below, an All reviews card shows 48 while the Reviews shown card shows 10 and the status chart shows only the two chosen statuses.

Two statuses chosen, and the department filter on the value the builder set as its default. The value card built to ignore the filters still counts every review. All names are fictional.

Explore the data

Click a slice in a pie chart or a bar in a bar chart to drill down: every other element that uses the same data source narrows to that selection, so you can study one segment in context. The chart you clicked highlights your selection and offers a Clear drill-down action to remove it.
When a column has many categories, the smallest ones are grouped into a single Other slice so the chart stays readable. Hover the Other slice to see the categories behind it, and read each slice’s value from the legend.
Open the menu on any data grid column header to sort (ascending or descending) or filter the table by that column. A default sort may have been set when the dashboard was built, which applies until you change it. Clearing your sort returns the table to no sorting.
Value cards show one headline number. A gauge shows progress toward a target; a trend card shows the change versus the previous period, with an arrow and percentage — hover the change for exactly which periods are compared.
A dashboard after clicking a pie slice, with the selected slice highlighted and the other elements filtered to that selection.

Drilling into one category filters the rest of the dashboard.

Export

  • Export all (header) — every table on the dashboard, in one workbook, scoped to the active filters and date range.
  • Export XLSX on a single grid — just that table, with your current sorting, the active filters and the date range applied.
Set your filters and date range before exporting — the workbook reflects whatever is active, so it matches what you see on screen.
If a data source holds more rows than its row cap, the export covers only the captured rows and warns that it may be incomplete. Ask whoever manages that data source to raise its row cap if you need the full set.

Keeping data current

If the numbers look out of date, check the freshness indicator. Refresh reloads the latest available data, but the underlying snapshot is only as current as the last time its data source was refreshed. If it’s still stale after a refresh, ask whoever manages that data source to refresh it. Besides Updated …, an element’s freshness can read Awaiting first run (never materialized yet), Stale (overdue for a refresh), Schema drift detected (the query’s columns changed at the last refresh), or Last run failed. For any of these, whoever manages the data source is the person to contact. An element reading Live draws from a parameterized data source that runs on demand, so it’s always current.

Introduction

What the Nobly Insight retention system does, the document lifecycle it manages, and the dashboard you monitor it from.