Our Process

If your team is facing a backlog of reporting requests, manual processes for data cleaning, or infrastructure that fails to scale with your agency's growth, our process provides the technical relief needed to modernize your data foundation and accelerate your reporting timeline today.

Phase 1: Discovery

Over a 2-week period, Horvath Data Labs will review current automated pipelines, data structure, testing protocols, and reporting outputs, providing a roadmap to improve the scalability and durability of your infrastructure.

Phase 2: Implementation

We work closely with your team to execute and test a professional data pipeline, populating a structured relational data model fit for ongoing research, reporting, and ad-hoc analysis.

Phase 3: Rinse and Repeat

Once the new architecture is proven, we shift to a streamlined onboarding process. This allows you to rapidly scale these data standards across your entire client portfolio with predictable, repeatable results.