Data & Engineering

Custom dashboard development and data engineering

We build business intelligence dashboards, data pipelines and automated reports that pull your numbers into one trusted place. Leaders see what changed, and teams stop rebuilding the same spreadsheet every Monday.

Discuss your data Request a project estimate

Agreed metric definitions
Tested pipelines with alerts
BI tool or custom app

Illustrative dashboard wireframe. No real data shown

How data flows

From scattered sources to decisions

The metrics layer is where most dashboards fail: if nobody agrees what "active customer" means, no chart will be trusted.

SourcesCRM, ads, billing, sheets
Pipelinesscheduled, tested ETL/ELT
Warehouseone modeled source of truth
Metrics layeragreed definitions
DashboardsBI tool or custom app

What we build

Reporting that runs itself

Executive and KPI dashboards

Revenue, pipeline, operations and marketing metrics with agreed definitions.

BI dashboards

Looker Studio, Power BI, Metabase or a custom web dashboard, depending on audience and budget.

Data pipelines (ETL/ELT)

Scheduled extraction from CRMs, ad platforms, payments, spreadsheets and databases into a warehouse.

Automated reporting

Weekly or monthly reports generated and delivered without copy and paste.

Customer-facing analytics

Dashboards embedded in your product, built with our web development team.

Approach & fit

Start with the decision, not the chart

Clean, connected data is also the foundation for useful AI automation.

01
Decisions first
What each dashboard must help someone decide.
02
Source map
Owners, update frequency and known quality issues.
03
Definitions
Signed-off metric definitions before charts.
04
Tested pipelines
Tests and alerts catch broken data early.

Good fit when reports are spread across spreadsheets, numbers don't match, or your data exists but nobody fully trusts the dashboard. Examples: investment analytics scope, healthcare dashboard scope.

FAQ

Dashboard questions

Should we use Power BI, Looker Studio or a custom dashboard?

BI tools are faster and cheaper for internal reporting. A custom dashboard makes sense when it is customer-facing, needs your branding and permissions, or has to sit inside your product.

Do we need a data warehouse?

Not always. With few sources and modest volumes, direct connections may be enough. Once several systems need combining or history matters, a warehouse is usually simpler to maintain.

Next step

Get your numbers into one trusted view

Tell us about the workflow or product you have in mind. In a free 30-minute call we confirm fit, risks and a sensible first milestone, with a written scope before any work begins.