Pipelines · Warehouse · Dashboards
Make the program visible.
End-to-end BI — pipelines, warehouse, and dashboards — so your automation program is observable, auditable, and defensible.
Automations without visibility fail silently. We build pipelines and dashboards that expose process KPIs, automation performance, and business outcomes in real time.
Is this you?
If any of these sound familiar, you're in the right place.
- No clear visibility into automation performance or ROI
- Spreadsheet-based reporting that arrives late and inconsistently
- Disconnected data sources, with no single source of truth
- Dashboards that go underused because base data is wrong or hardcoded
What's included
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 (primary in LATAM enterprise), Tableau, Looker, and Metabase.
Automation observability
Dashboards built for RPA + agentic automation: runs, exceptions, coverage, and cost.
Data governance
Access controls, lineage, testing, and SLA monitoring.
Real-time flows
Streaming or near-real-time pipelines where decisions cannot wait for nightly batch.
How it ships
What the architecture actually looks like.
A reference view of how the moving parts fit together. Every engagement adapts the canvas to your stack, your data, and your governance — but the bones are these.
How we deliver
A predictable path from scoping to production.
- 1
KPI design
Which decisions depend on which metrics, and for whom.
- 2
Data architecture
Sources, warehouse model, transformations, and governance.
- 3
Build
Pipelines + dashboards with tests and documentation.
- 4
Adoption
Training, usage tracking, and iteration.
Outcomes
Outcomes we aim for.
Power BI
Primary platform
dbt-tested
Reliable pipelines
Audit-ready
Lineage and controls
Featured case · Shared Services / BPO
40% faster month-end close with process redesign, RPA, and real-time close dashboards.
A top-5 LATAM shared-services centre reduced month-end close from 7 to 4.2 days by redesigning AR and intercompany workflows, automating 14 bots, and launching a real-time close cockpit.
40%
Faster month-end close
14
Bots in production
1
Real-time close cockpit
Read the full case“We stopped debating close status and started closing faster.”
Related services
Often delivered together.
FAQ
Frequently asked questions
Ready to ship an automation that actually runs?
Book a 30-minute discovery call with a senior automation lead. You'll leave with a written use-case summary and a rough scope — no commitment, no slide deck.