Businesses often have critical data locked within SaaS applications and databases, and integrating this data into a centralized data warehouse or data lake is essential for creating insightful visualizations, reports, and dashboards. Heap offers a solution for capturing customer behavioral data by automating data collection, allowing for retroactive data remodeling, and standardizing data into a user-centric schema. However, building and maintaining data pipelines is complex, requiring accuracy, consistency, high availability, and security. To address these challenges, Heap has introduced Customer Data as a Service to connect its data directly with platforms like Amazon Redshift and Google BigQuery and has partnered with Stitch, a cloud-native platform, to facilitate data movement. This partnership allows for seamless integration of Heap data with various data warehouses, enabling businesses to combine rich customer behavioral data with other data sources for comprehensive analysis and improved business decision-making. Heap also uses Stitch to integrate third-party data, such as CRM and product health data, into its data warehouse, and it invites interested users to join a closed beta to explore the benefits of this collaboration.