Dashboards your team actually uses.
We do not deliver screenshots. We deliver live panels connected to your data sources — Power BI, Looker, Metabase, or Superset — with automatic refresh, business filters, and role-based views.
What we build
- KPI dashboards in Power BI, Looker, Metabase, or Superset connected to your live data
- dbt models to transform and document your data layer before it reaches the dashboard
- ETL/ELT pipelines with Airflow or Prefect to keep data fresh on your schedule
- UX design focused on decisions — not vanity metrics
- Role-based access: executives, operations, and analysts each see what they need
- Data dictionary and source documentation so your team owns it after we leave
How we work
Understand your KPIs
We interview stakeholders to map which decisions each team actually makes — and what data they need to make them faster.
Connect and audit sources
We connect to your databases (PostgreSQL, Snowflake, BigQuery, Redshift), APIs, and flat files. Every source is profiled for quality and documented.
Model the data with dbt
We build a clean, tested data layer using dbt — dimension tables, fact tables, business logic — so the dashboard never touches raw data directly.
Design for decisions
We wireframe and build the dashboard with your BI tool of choice. Every chart earns its place by answering a real business question.
Deploy, train, hand over
We deploy to production, run alerting via Grafana or native BI alerts, train your team, and document everything. You own it from day one.
Frequently asked questions
Which BI tools do you work with?+
Power BI, Looker, Looker Studio, Metabase, Apache Superset, and Grafana. We recommend the right tool based on your existing stack, budget, and user needs — not on what we prefer.
How do you handle real-time data?+
We design pipelines based on your actual refresh requirements. Most business KPIs work well on 15-minute or hourly refreshes via Airflow or dbt Cloud. True real-time (sub-second) is possible with Kafka or Spark Streaming when the use case justifies it.
Our data is messy. Can you still build dashboards?+
Yes — and we will tell you honestly what quality work is needed first. We have built data models on top of legacy ERP exports, hand-crafted CSVs, and partially migrated cloud warehouses. The dbt layer absorbs most of the complexity.