Connect source systems, resolve conflicting records, and create maintainable data pipelines. We bring architecture, engineering, governance, and documentation together so the foundation supports the next report, workflow, or AI application.
For technology, data, operations, and finance teams.
Talk through your project
We define what a customer, donor, or organization means, then build matching and identity rules that connect source records into a shared Golden Record, with traceability back to every source.
We build pipelines with ingestion, transformation, monitoring, and exception handling suited to your environment, so data moves on a schedule you can trust instead of by hand.
We map your sources, document definitions and owners, and put quality checks and clear ownership in place, so the next report, workflow, or AI application starts from a foundation you can explain and maintain.
Document systems, entities, definitions, owners, and the flow of data.
Develop ingestion, transformation, monitoring, and exception handling suited to your environment.
Define matching and identity rules, connect source records, and make the basis for a shared record traceable.
Establish checks, reconciliation, quality reporting, and an operational handoff.
Connected sources and reconciled definitions give you information you can rely on.
The right information reaches the systems, workflows, and reports your team already uses.
Research and analytics help your team decide with evidence, not guesses.
Golden Record work includes traceability back to source systems.
Talk through your projectA governed customer foundation connects identities across sources, preserves traceability, and makes quality visible for the next analysis or integration.
Read the story →A consistent representation of an entity, such as a customer or donor, created by connecting and reconciling records across sources. Matching rules, source lineage, and exception handling are as important as the final record.
Yes. We agree on responsibilities, access, design decisions, testing, and handoff with your team. Delivery can complement internal engineering capacity.
Our work includes Microsoft Fabric, Azure, Snowflake, dbt, Fivetran, APIs, and Power BI. The architecture follows your requirements and existing environment.
Tell us about the systems, reports, or workflow getting in your way.
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