Data Processes

This section describes the processes and best practices for developing, managing, and governing data analytics projects at ARC. It includes guidelines for code reviews, project management, data quality, and transitioning projects between teams.

Development Process

Best practices for developing analytics solutions, including code reviews and documentation.

Project Management

Guidance on managing analytics projects, documentation, and moving code to production.

Data Governance

Processes for ensuring data quality, ingestion, transformation, and compliance.