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Dashboards

Dashboards that get to the answer

Sigma runs dashboards live on your warehouse, so anyone can drill from a flagged metric to the row without a ticket.

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What the current reporting cycle costs

What the current cycle costs

Every number here is the cost of the process teams run today, before Sigma.

30 hours30 min
30 hours30 minto build one dashboard
2,00050IT reports
61engineers per report
How it works

3 steps to a live dashboard

  1. 1
    Connect the warehouse

    Sigma queries your existing models and views live, so no extract needs a refresh schedule.

  2. 2
    Build in a workbook

    Analysts use spreadsheet formulas, SQL, and Python in one workbook, under warehouse permissions.

  3. 3
    Publish the drill path

    Business teams follow the path to the row themselves, so the request queue stops growing.

Connect the warehouse. Build in a workbook. Publish the drill path

One drill path

From warehouse rows to a store note

store sales · warehouse
118 Harbor Point$689,412
412 Cascade Crossing$412,880
350 Desert Palms$268,915
saved views · model
Exec weekly
District managers
Merch planning
store performance · workbook
Net sales$5,418,298
Stores below plan6 of 12
412 Cascade Crossing-8.4%At risk
store note · action
Freezer outage, week 33Writeback
Heat wave, low footfallWriteback
User and timestampLogged
ActionThe note writes back with a timestamp
WorkbookDrill from a flagged metric to rows
ModelOne saved view per audience
WarehouseQueries hit your tables, no extract

Every layer runs the same live query, so the number on the dashboard is the number in the table underneath it.

Built for the analytics team

01Explore

Live query, no extracts

Sigma queries the warehouse when someone opens a workbook, so the number on screen is the number in the source. Filters push down, so scans stay narrow as more people use it.

  • Query existing models and views with no rebuild
  • Push filters and aggregations down to the warehouse
  • Drop the refresh schedule and the extract drift with it
02Act

Drill paths anyone can follow

Publish the path from a summary metric to the row that explains it. Viewers pivot and add calculations on a copy, while the shared data model stays under your control.

  • Drill from a flagged metric to the source row
  • Save a view per audience instead of a new report
  • Keep row-level security on every query a viewer runs
03Govern

Beyond dashboards to AI Apps

The workbook that reports a number can also collect one. Input Tables write edits back with the user and timestamp, and Actions call the systems that finish the job.

  • Write a correction back, route the approval, and keep the trail
  • Let Sigma Agents recommend the next step
  • Keep every edit under warehouse roles and row-level security
Connections

Always on the newest trusted data

Amazon Redshift
ClickHouse
Databricks
Snowflake

Sigma queries your warehouse live, so a workbook reads what landed a moment ago.

Governance stays in the warehouse

Every workbook, report, and agent runs under the roles and row-level security your warehouse already enforces.

Change historyAppend only
DWOps lead set Threshold on 118 Harbor Point14:22
MEAnalyst edited Commentary on 471 Rainier Square14:09
RORegional manager reassigned Owner on 226 Bayview Center13:51
JTAnalyst approved Status on 118 Harbor Point11:04
One set of rules

Sigma reads your models and views directly, so permissions stay in the warehouse.

Live, no extracts

Queries run at open against source tables, so there is no refresh window to explain.

AI you can audit

Sigma has no model of its own. Point it at your provider, and every AI call is logged.

Every kind of app

Sigma for every kind of app

All 7 build on the same live, governed platform.

Sigma for forecasting

Own every forecast version

Explore

Sigma for modeling

Model every lever on live data

Explore

Sigma for planning

Own your plan in one place

Explore

Sigma for project tracking

Project tracking you can act on

Explore

Sigma for reconciliation

Reconcile every number in one place

Explore

Sigma for reference data

Fix reference data without a ticket

Explore

Questions from BI teams

Start with dashboards, keep going

To learn more about dashboards and BI on live warehouse data, bring your hardest request and schedule a Sigma demo.

Schedule demo

Activate your data warehouse

Stop buying a new tool for every workflow. Build it once on governed data, then scale it across the business.