Data your team can trust.reconcile.act on.own.

We connect your ERP, payroll, bank and operations systems into one governed Azure SQL warehouse and build the Power BI reporting on top. Engineered to survive a re-run, validated to the source, documented so your team can run it.

Start a project See the work
  • 40+ pipelines in production
  • Numbers reconciled to source before launch
  • Everything runs in your own tenant

What we do

Three things, done properly.

Most clients start with one and grow into the others. Every engagement ends with documentation and a hand-off your own team can run.

Data engineering

Automated pipelines that pull from ERPs, payroll, banking and SaaS APIs into a governed Azure SQL warehouse.

  • Azure Data Factory and Azure Functions
  • REST, OAuth and webhook integrations
  • Incremental loads, dedup and alerting
  • Backfills that never double-count
Learn more

Power BI and analytics

Semantic models and reports that answer the questions leadership actually asks, with numbers that reconcile to source.

  • Star-schema models and documented DAX
  • Executive, operations and finance pages
  • Row-level security and governance
  • Cell-level validation before publish
Learn more

Platform migration and support

Own your data platform outright. We move it into your Azure tenant, harden it, and keep it running as the business changes.

  • Tenant-to-tenant Data Factory migrations
  • Managed identity, Key Vault, no passwords
  • Monitoring, alerting and runbooks
  • Ongoing improvements on a retainer
Learn more

How the data flows

From the bank's API to the dashboard.

The Sabrosura treasury pipeline, one step per card. Drag or use the arrows; hover to pause and tilt.

What lands on the dashboard

Reports leadership actually opens.

Five of the report types we build and maintain in Power BI, recreated here as live previews. Flip a card to see what sits behind it.

A pipeline run, live

What "reliable" looks like at 6:00 AM.

This is the shape of every load we ship: triggered by the source, validated against it, protected from duplicates at the database, and refreshed into Power BI before anyone opens a laptop.

  • Event-driven. The source tells us when data is ready. No polling, no waiting for a nightly window.
  • Idempotent. Natural keys and hash indexes make a re-run or a retry harmless.
  • Reconciled. Hours, dollars and counts tie back to the source system before the refresh runs.
PL_ADP_Master_PayrollLoad · ULSDF
$ adf run PL_ADP_Master_PayrollLoad --trigger webhook → ADP event received: payroll.output.completed (pay date 09/11) → GetAdpPayrollDetails ······· 4,112 line items ✓ → GetAdpWorkers ······· 1,438 workers ✓ → GetAdpTeamTimeCards ······· 6,930 daily totals ✓ → upsert ADP_PayrollDetails RowHash check: 0 duplicates → validate hours vs time cards diff 0.00 ✓ → Power BI dataset refresh queued 06:00 ET ✓ pipeline complete in 3m 42s · change log updated

Selected work

Real systems, in production.

Four of the platforms we run today. Names shared with permission, details we are happy to walk you through.

Sunorchard · HR and payroll

ADP payroll and time card data, event-driven into Azure SQL

Three ADP APIs integrated through Azure Functions and Data Factory, with webhook-triggered loads, hash-based duplicate prevention and a historical backfill.

Read the case study
3ADP APIs
52payroll fields
$366Kearnings recovered
Azure FunctionsData FactoryAzure SQLWebhooks
Sabrosura Foods · Treasury

J.P. Morgan balances and transactions, loaded daily

Certificate-based OAuth to the bank's treasury APIs, then daily account balances and transaction detail into Azure SQL for cash reporting.

Read the case study
10bank accounts
55transaction attributes
4pipelines
OAuth JWTAzure FunctionsData FactoryAzure SQL
United Land Services · Landscaping

Full ETL platform migration into the client's own Azure tenant

Aspire, Acumatica, Fleetio, HubSpot and Ramp pipelines rebuilt in the client's tenant with managed identity, an exact-match historic seed and a same-day cutover.

Read the case study
42pipelines
95datasets
0rows lost
Data FactoryARM templatesManaged identityPower BI
Golding Farms and Foods · Manufacturing

Inventory, forecast accuracy and OEE reporting in Power BI

Operations analytics across two plants: days on hand with zero-stock visibility, purchase forecasting, forecast accuracy by salesperson and machine-level OEE.

Read the case study
2plants
4report areas
203/203cells validated
Power BIDAXSQL ServerPBIP
All case studies
0pipelines in production
0APIs and source systems integrated
0industries served
0documented hand-offs

How we work

From first call to a system you own.

Short, visible steps. You see progress every week and nothing goes live until it reconciles.

  1. 01

    Discovery

    Goals, the decisions to support, source systems and the pain behind the request.

  2. 02

    Design

    Architecture, data model and a written scope with a fixed price or a clear estimate.

  3. 03

    Build

    Pipelines, warehouse, models and reports, with weekly reviews you can react to.

  4. 04

    Validate

    Every number tied back to the source system. Duplicates, gaps and edge cases handled before launch.

  5. 05

    Launch and support

    Documented hand-off, monitoring and a change log. We stay on for improvements as you grow.

Why Data Driven Solutions

Engineering first. Business always.

You get a senior engineer who has run finance, operations and HR data for real companies, not a slide deck and a junior team.

  • Built to not break. Idempotent loads, natural-key constraints and retries are standard, not extras.
  • Numbers that reconcile. We validate against payroll registers, bank statements and ERP exports before anyone sees a dashboard.
  • Yours to keep. Everything runs in your Azure tenant and your Power BI workspace, with documentation and a change log.
  • One point of contact. The person you scope with is the person who builds and supports it.

Duplicate prevention, by default

-- natural key enforced at the database
ALTER TABLE dbo.PayrollDetails
  ADD RowHash AS HASHBYTES('SHA2_256',
    CONCAT_WS('|', AssociateOID, PayDate,
      LineItemType, EarningCode, Amount)) PERSISTED;

CREATE UNIQUE INDEX UX_PayrollDetails_RowHash
  ON dbo.PayrollDetails (RowHash)
  WITH (IGNORE_DUP_KEY = ON);

-- re-runs are now safe: duplicates are discarded

Stack

Proven tools, no lock-in.

Azure Data FactoryAzure FunctionsAzure SQLSQL ServerPower BIDAX and Power QueryMicrosoft FabricPythonREST and OAuth APIsKey Vault and managed identityARM templates

Have a data project in mind?

Tell us what you are trying to decide or automate. First call is free and you leave with a clear next step.

Start a project Email us