Qbatch · Business Intelligence

Dashboards decision-makers actually open.

Metrics layers and BI surfaces that end spreadsheet arguments — trusted numbers, clear owners, weekly rituals.

Fix our metrics

How we build BI

Start with definitions. Then draw the charts.

Metrics layer

One definition of revenue, margin, and funnel stages — versioned and documented.

Decision dashboards

Views built around weekly rituals, not vanity charts nobody opens.

Trust & lineage

Source-to-metric visibility so debates end at the definition, not the number.

Self-serve with guardrails

Analysts explore freely; executives see curated, governed surfaces.

Before

Twelve “revenue” numbers across teams
Dashboards nobody trusts in the board pack
Analysts drowning in one-off export requests

After

Single metrics catalog with owners
Weekly exec view that matches finance close
Self-serve exploration without breaking definitions

Business intelligence FAQ

What BI tools do you work with?+

Looker, Power BI, Tableau, Metabase, and custom React dashboards on a governed semantic/metrics layer.

How do you avoid dashboard sprawl?+

We define a metrics catalog first, then ship a small set of decision-oriented views with clear owners and refresh SLAs.

Can you fix an existing warehouse and BI mess?+

Yes. We audit sources, rebuild critical metrics, deprecate unused reports, and establish governance so trust returns.

Talk about your metrics