Services
What we build, and what you get.
Three practices, one standard: reliable, validated, documented and running in your own Azure tenant.
01
Data engineering and integration
We take the data trapped in your ERP, payroll provider, bank portal, CRM and spreadsheets and land it in a governed Azure SQL warehouse, automatically, every day. Pipelines are incremental, idempotent and monitored, so a re-run never creates a duplicate and a failure never goes unnoticed.
Typical sources we have integrated: ADP payroll and time cards, J.P. Morgan treasury APIs, Acumatica, Aspire, HubSpot, Fleetio, Ramp, SharePoint and Excel.
See it in production: ADP integrationWhat you get
- Azure Data Factory pipelines with triggers, retries and alerting
- Azure Functions for OAuth, pagination and awkward API formats
- Warehouse tables with natural-key constraints and typed views
- Webhook and event-driven loads where the source supports it
- Secrets in Key Vault, managed identity for database access
- Runbook and a change log your team can follow
Typical engagements
- New API integration into an existing warehouse
- Replace a manual Excel or Access process with a pipeline
- Migrate an ETL platform into your own Azure tenant
- Fix duplicates, gaps and slow refreshes in an existing setup
02
Power BI and analytics
Reports only help if people trust them. We build star-schema semantic models with clear measure definitions, validate every figure against the system of record and set up row-level security so each branch, plant or manager sees exactly their data.
We work in Power BI Desktop, PBIP projects and Fabric, and we can take over and improve an existing model as easily as start a new one.
See it in production: operations analyticsWhat you get
- Semantic models with documented measures and a single source of truth for each KPI
- Executive summaries, operational pages and drill-through detail
- Row-level security tied to your org structure
- Scheduled refresh, gateways and workspace governance
- Cell-level validation against exports before anything is published
Typical engagements
- Company-wide reporting on top of a new warehouse
- Inventory, forecast accuracy, OEE and payroll analytics
- Adding a KPI or page to an existing report, validated end to end
- Performance and refresh fixes on slow models
03
Platform migration and support
Many data platforms grow up inside a consultant's subscription or a legacy server nobody wants to touch. We move them into your own Azure tenant, replace stored passwords with managed identity and Key Vault, retire what is no longer needed, and validate that nothing was lost on the way.
After go-live we stay on: monitoring, small improvements, new KPIs, and the runbook your next hire will read. Most clients keep us on a light monthly retainer.
See it in production: tenant migrationWhat you get
- Factory, database and reports replicated into your tenant from templates
- Managed identity and Key Vault instead of passwords in connection strings
- Row-for-row validation of the historic seed before cutover
- Legacy sources and runtimes retired cleanly
- Alerting on failed runs and a runbook for every pipeline
- A rollback path kept until you sign off
Typical engagements
- Move a platform out of a vendor or consultant subscription
- Consolidate SQL Server, Postgres or Access sources into Azure SQL
- Security hardening and secret rotation on an existing factory
- Monthly support retainer for pipelines and reports
Not sure which one you need?
Describe the problem. We will tell you honestly whether it is a pipeline, a report, a migration or none of the above.