Make the program visible.
End-to-end BI (pipelines, warehouse, and dashboards) so your automation program is observable, auditable, and defensible.
Capabilities built for production.
Data pipelines
Airflow, dbt, Fivetran / Airbyte, and custom Python: robust, tested, and documented.
Warehouse
Snowflake, BigQuery, Redshift, and Postgres: modeled for analytics, not as a raw lake dump.
Dashboards
Power BI (our primary platform), Tableau, Looker, and Metabase.
Automation observability
Dashboards built for RPA and agentic automation: runs, exceptions, coverage, and cost.
Data governance
Access controls, lineage, testing, and SLA monitoring.
Near-real-time flows
Streaming or near-real-time pipelines where decisions cannot wait for nightly batch.
What the architecture actually looks like.
A reference view of how the moving parts fit together.
Outcomes we aim for.
- Primary platform
- Power BI
- Models with data tests
- dbt
- From dashboard back to source
- Lineage
Featured case / Shared Services / BPO (client anonymised)
40% faster month-end close with process redesign, RPA, and a close cockpit refreshed every 15 minutes.
- Faster month-end close
- 40%
- Workflows automated
- 14
- Close cockpit refreshed every 15 minutes
- 1
Frequently asked questions
We already have Power BI. Why hire you?
Dashboards are the visible tip. The hard part is the underlying pipeline, warehouse model, and data governance; that is where many BI programs fail silently. We build the full stack.
Do you rebuild existing dashboards or start from scratch?
It depends on the diagnosis. We keep the dashboards that drive real decisions and retire the rest, then rebuild the pipelines behind them.
Can you integrate with our UiPath Orchestrator for automation KPIs?
Yes. We have a reference automation-observability model that ingests Orchestrator logs, queue data, and exception metadata to expose coverage, drift, and cost dashboards.
Bring one process. We will show you what changes.
Share the workflow, its monthly volume, the systems involved and where exceptions pile up. A delivery lead will come back with an assessment of fit and a practical next step.