A Complete Guide to Data Layer Governance
How modern teams prevent tracking breakage and keep analytics trustworthy.
In today’s data-driven world, businesses increasingly rely on robust data environments to unlock actionable insights and drive strategic decisions. This whitepaper delves into the intricacies of building and optimising data environments, focusing on the intersection of behavioural analytics and various data warehouse technologies such as Redshift, Snowflake, and BigQuery. While our primary focus is on Google Analytics 4 (GA4) data with BigQuery, the principles and benefits discussed are universally applicable, extending to diverse data warehouse setups and cloud providers.
About this whitepaper
We begin by clarifying foundational concepts, distinguishing between data lakes and data warehouses, and underscoring the transformative potential of integrating GA4 with BigQuery. This integration enables more flexible, comprehensive data analysis, providing an enriched foundation for actionable insights and advanced reporting. By connecting GA4 with BigQuery, organisations can transcend the limitations of standard analytics tools, unlocking deeper, more nuanced insights that drive informed decision-making.
The whitepaper also explores major use cases for BigQuery integration, illustrating how to leverage extended GA4 data analysis, combine internal and external data for holistic insights, and activate data to optimise digital marketing and internal systems. These scenarios highlight the versatility and power of BigQuery in enhancing data analytics capabilities.
Download this whitepaper to learn more about
- BigQueryData
- Warehouses
- Data Integrations like: Google Cloud Functions, Google Cloud DataProc, Google Cloud Dataflow & Google Cloud Composer.
- ETL tools like: Airbyte.
- Data Preparation tools like: BigQuery scheduled queries, DBT & Dataform.
- Workflow Orchestration tools like: Google Workflows & Mage.
- Data Activation via GCP