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Data availability

Give disconnected systems a dependable shared foundation.

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.

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For technology, data, operations, and finance teams

Does this sound familiar?

A useful place to start.

What we deliver

From the question to the working system.

01

Map the sources

Document systems, entities, definitions, owners, and the flow of data.

02

Build the pipelines

Develop ingestion, transformation, monitoring, and exception handling suited to your environment.

03

Create Golden Records

Define matching and identity rules, connect source records, and make the basis for a shared record traceable.

04

Make quality visible

Establish checks, reconciliation, quality reporting, and an operational handoff.

What you leave with

A documented architecture, working data flows, defined quality checks, and clear ownership. Golden Record work includes traceability back to source systems.

Holley in practice

One customer identity. The sources still visible.

Defined matching and lineage connect records without losing the ability to review their origin or quality.

  1. 01Source records
  2. 02Defined matching & lineage
  3. 03Shared customer identity
  4. 04Quality review
Illustrative Golden Customer Record pattern · not client records
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Relevant work

See the approach in practice.

Commercial · Data engineering

Holley

A governed customer foundation connects identities across sources, preserves traceability, and makes quality visible for the next analysis or integration.

Golden Record delivery completed

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Nonprofit · Salesforce & integration

Arizona Educational Foundation

Salesforce configuration, a completed legacy migration, and a connection to Microsoft Fabric establish the reporting foundation.

Delivered milestones · ongoing implementation

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Before we begin

Useful questions.

What is a Golden Record?

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.

Can you work with our technical team?

Yes. We agree on responsibilities, access, design decisions, testing, and handoff with your team. Delivery can complement internal engineering capacity.

Which platforms can be involved?

Our work includes Microsoft Fabric, Azure, Snowflake, dbt, Fivetran, APIs, and Power BI. The architecture follows your requirements and existing environment.

A useful first conversation

Let’s talk about Data Engineering & Golden Records.

Bring the systems, reporting questions, and constraints you already know.

Talk through your project