One governed source of truth — a warehouse leadership actually uses
We unify clinical, financial, and operational data into a governed warehouse and lakehouse, then build the dashboards that answer the questions your leaders keep asking — and we keep the pipelines running so the numbers are always current.
Where data warehousing & bi usually goes wrong
Conflicting numbers
Every department reports a different figure because every report has a different source.
Stale dashboards
Reports built once, then quietly drift out of date as pipelines break.
Spreadsheet sprawl
Critical decisions made on exports emailed around and manually reconciled.
Our data warehousing & BI capabilities
From ingestion to governed dashboards — a data platform that stays trustworthy.
Data platform & lakehouse
Cloud warehouse/lakehouse design on Snowflake, BigQuery, Databricks, or Redshift.
Healthcare data modeling
Dimensional and FHIR/OMOP-aligned models so clinical and revenue data reconcile.
ELT pipelines
Reliable, tested ingestion from EHR, billing, and operational systems with data-quality checks.
BI & dashboards
Power BI, Tableau, or Looker dashboards designed around the decisions leaders make.
Governance & security
Row-level security, PHI controls, and a data catalog so access and lineage are clear.
Operate & monitor
Pipeline monitoring and freshness SLAs so dashboards are never quietly stale.
Map, build, prove, operate
Model
Define the metrics that matter and the data model that reconciles every source.
Build
Stand up the platform, ELT pipelines, and governed dashboards with quality checks.
Validate
Reconcile against source systems and sign off numbers with each data owner.
Operate
Monitor pipeline health and freshness under SLA so the numbers stay current and trusted.
A dashboard is only as good as the pipeline behind it. We run the pipeline.
The platform-only model
- You buy the tools and staff the pipelines
- Models designed per-report, not once
- Freshness is best-effort
- Governance is retrofitted
The 10decoders model
- We build the platform and operate the pipelines
- One reconciled healthcare data model
- Freshness SLAs with pipeline monitoring
- Row-level security and lineage from the start
