Today
- One-off analysis request
- Copied query
- Spreadsheet handoff
- Static dashboard
- Missing review trail
- Recreated next month
Managed SaaS for recurring business questions
Underdata is a managed SaaS that turns recurring business questions into governed, reusable data workflows. Capture the question, approve the logic, run it through governed data sources, review the answer, and publish it as a dashboard or data app.
Private beta for teams that need repeatable analysis with human review and governed execution.
Margin workspace / Monthly review
Find the largest drivers of this month's gross margin drop and prepare a workflow we can rerun next close.
select product_line, region, discount_band,
margin_delta_points, driver_share
from mart.gross_margin_drivers
where close_month = date '2026-06-01'
order by driver_share desc;The Underdata workflow
Start with a recurring business question and the decision it supports.
Turn the request into an analysis plan with definitions and data sources.
Run approved steps through governed data access and visible controls.
Capture the result, reasoning, and recommended action in the workflow.
Keep the logic as a workflow that can be reviewed, rerun, and shared.
Publish trusted results as dashboards or data apps for business teams.
Finance asks why gross margin dropped. Operations asks why inventory coverage moved. Revenue asks what changed in conversion. The logic often ends up split across messages, queries, spreadsheets, and static dashboards, so the next run starts from memory instead of a reviewed workflow.
Governed workflow
Underdata keeps the question, assumptions, queries, calculations, reviewed answer, and next actions in one reusable workflow, so teams can review and rerun the work instead of rebuilding it each time.
Question, assumptions, approved query, result table, reviewed answer, owner review, and publish controls stay in one governed workflow.
select product_line, margin_delta from mart.gross_margin_driversdriver_share = margin_delta / total_dropUnderdata AI
Underdata AI helps turn a request into an analysis plan, asks for missing context, proposes workflow changes, waits for review, runs approved steps, evaluates the result, and returns a reviewed answer you can preserve and reuse.
Why did gross margin drop this month? I need a workflow we can review and rerun every close.
I found margin, discount, freight, and product tables. I will compare month-over-month drivers, flag the largest variance, and wait for approval before changing the workflow.
Underdata AI proposes. Reviewers approve. Underdata executes the workflow.
Dashboards and data apps
Publish trusted workflow results as dashboards and data apps that business teams can use without editing code, while keeping the source logic visible and traceable.
Close review for finance and operations
South appliances explain most of the margin drop after discount approvals increased late in the month.
Review discount guardrails before the next close and rerun this workflow on Monday.
Governance
Admins manage access, data sources, review policy, approved actions, scheduled runs, and publishing rules from the workspace.
Underdata is designed for recurring questions whose answer needs to survive the month-end meeting and become reusable operating work.
Explain what changed in pipeline, conversion, discounting, and bookings without rebuilding the review each month.
Preserve margin driver logic, supporting evidence, and reviewed answers from every close.
Track coverage, stockouts, demand shifts, and operational exceptions with reviewed workflows.
Combine customer signals into a reviewed workflow that sales and success teams can rerun before each renewal window.
Keep recurring leadership reviews tied to the source question, plan, reviewed answer, and published result.
Private beta
Request access to discuss one repeated question, the review policy it needs, and the dashboard or data app your team wants to publish from it.
Private-beta access is managed by Underdata. Limits, review policy, and workspace access are agreed directly with each team.