Get Procore data into Power BI, reliably
A repeatable pipeline from the Procore API into a Power BI model, with validation, history and refresh you can rely on.
The problem
Procore holds most of your project data, but getting it into Power BI usually means CSV exports or a quick connector that breaks when an endpoint changes. Nested records like RFIs and commitments are hard to model, and there is no check that what refreshed is complete.
What we build
We extract the Procore endpoints your reports need through the API with a scoped app, land them raw, validate and model them into a star schema, and publish a Power BI semantic model on a schedule. The same pattern runs on Microsoft Fabric or on Azure Functions with Cosmos DB, depending on what fits your environment.
How it works
- 1
Register a scoped Procore app
A custom app with its own credentials, stored in Azure Key Vault, with read-only access to the data the reports need.
- 2
Extract from a registry
A notebook or function reads its endpoint list from a versioned registry and runs through a rate limiter, so adding an endpoint is a reviewable one-file change.
- 3
Land, validate, model
Raw payloads land as received, are typed and checked, then modeled into facts and dimensions such as project, cost code, vendor and date.
- 4
Publish and refresh
Power BI reads the model through Direct Lake or a scheduled refresh, after quality checks pass.
- Procore
- Microsoft Fabric
- Azure Functions
- Azure Cosmos DB
- Azure Key Vault
- Power BI
The value it creates
Time saved
No more weekly exports; track hours spent pulling and cleaning Procore data before and after.
Visibility
Budgets, commitments, change orders, RFIs, submittals, observations and punch items in one model you can slice by project and period.
Standardization
Every report uses the same extraction and definitions, so two dashboards never disagree on the same Procore figure.
Proof
- BuildConstruction reporting across Procore, Sage 100, Outbuild and SharePoint (Production implementation)
- BuildFinancial reporting across Procore, QuickBooks Online and HubSpot (Production implementation, sample data shown)
- WalkthroughWalkthrough: Procore and P6 in Power BI through Azure (Reference build)
- ArticleGuide: Procore API integration
Related use cases
- Built and shown
Cost-code crosswalk and master data that every report agrees on
Projects, cost codes, and vendors mapped once in versioned reference data, so every report uses the same answer and gaps go back to the owner.
- We design and build this
CRM to Procore integration: one job record from pursuit to closeout
Stamp the CRM deal ID onto the Procore project, keep company and contact records aligned, and report pipeline next to backlog without retyping anything.
- We design and build this
ERP migration data mapping without losing history
A versioned map from old ERP to new, reconciled before cutover, so job history, cost codes, and vendors carry over and reports read across both.
- Built and shown
Procore and QuickBooks Online integration for WIP and cash reporting
Procore forecasts and QuickBooks actuals joined through a trust-ordered crosswalk, so the WIP schedule builds itself and unmapped jobs stay visible.
- Built and shown
Procore and Sage integration for reporting you can reconcile
Procore projects matched to Sage jobs in a governed lakehouse, so cost, billing, and AP line up in one report and every mismatch lands on a worklist.
- Built and shown
Schedule data in your reporting: P6 and Outbuild next to cost
Milestones and activities from P6 XER files or Outbuild land in the same model as cost and project records, mapped to the right project.
Frequently asked questions
Why not use a ready-made Procore connector for Power BI?
A connector can be a good start for a few tables. It becomes limiting when you need validation, history, crosswalks to accounting or many endpoints. We build the pipeline when reports have to be trusted and repeatable.
Do you use Procore webhooks?
Where they cover the data, yes. In one build, the resources the report needed, RFIs and submittals, were not among the webhook events we reviewed, so the sync polls on a timer instead.
Fabric or Azure?
If you already have Microsoft Fabric capacity, a Fabric lakehouse is the natural home. If not, an Azure Functions and Cosmos DB path also works. We choose based on your licensing, data volume and team.
Can we add more Procore data later?
Yes. The extractor reads from a registry, so adding an endpoint is a small, reviewable change that flows through the same validation and model.
Next step
Which report or workflow would you like to improve?
Tell us what your team does today, which systems are involved, and what you want to change. We'll discuss whether there is a practical fit.
Prefer email? charley@buildflows.ai