Western New York · Data sources

Data sources built into a local property intelligence operating model

Local records stay usable across parcel review, graph workflows, watchlists, exports, and licensing—without losing how each field ties back to source.

  • Parcel and ownership
  • Permits and enforcement
  • Document evidence
  • Operational delivery
Sources
Data sources workbench in Erie Intelligence.
In the product

See how sources roll up into a parcel-first model your analysts can actually run—not a static source catalog.

Why depth mattersTrust comes from how records are linked and delivered, not from the longest vendor list.

Multi-source coverage only helps when it is normalized, tied to the parcel, and honest about provenance. That is the bar this platform is built for.

Coverage modelLocal multi-source spine
TeamsAnalysts, ops, licensing
DeliveryDemo, exports, API
Western New York · Data sources

Source catalogs that never join the parcel waste everyone’s time

Buffalo and Erie County work depends on permits, violations, planning, and documents actually tying back to parcel identity.

Mistake: celebrating breadth without linkage

Feeds that do not resolve to a parcel spine become shelf-ware the moment someone runs a real file.

Pressure: operational teams carry the reconciliation tax

Analysts become human ETL because the “platform” never finished the local join work.

Good here: one local operating model

See how sources roll into parcel-first intelligence you can run—not a static list of vendor names.

Source groups

Breadth framed around local workflow value

Parcel and ownership records

Base parcel identity, ownership context, and mailing structure—the foundation the rest of the product builds on.

Permit and development activity

Permit-oriented records surface repairs, investment, build activity, and change over time at the parcel.

Violations, inspections, and enforcement

Code-related records support distress, compliance, and municipal follow-up signals in real workflows.

Supporting documents and evidence

Document-backed records and extracted fields provide the trust layer generic property tools usually skip.

How it comes together

From source collection to usable local intelligence

01

Unify difficult local records

One local operating model keeps parcel, owner, event, and document records aligned—not a pile of unrelated feeds.

02

Keep source context visible

Signals stay connected to supporting records and provenance so the team can review what happened without leaving the workflow.

03

Deliver where you work

The same backbone supports app workflows, recurring exports, API delivery, and licensing conversations.

Operational value

Source depth matters when it powers a real decision surface

The point is not claiming the biggest record count—it is making Erie County and Buffalo records navigable, citeable, and repeatable in the workflows you already run.

Go deeper by geographyPick the coverage page that matches your footprint

Move from this overview into a concrete geography or delivery model so evaluation stays grounded in how you work.

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