Organizations face rising pressure to deliver analytics-ready data rapidly, reliably, and at scale. While platforms like Qlik Talend Cloud (QTC) and GitHub offer powerful capabilities for Continuous Integration and Continuous Delivery (CI/CD), tools alone are not enough. High-performing data teams require the right project management discipline, data architecture, and team structure to ensure predictable, high-quality outcomes as complexity grows.
This document outlines best practices for preparing an organization, configuring GitHub, and structuring QTC environments to enable efficient, governed, and scalable data delivery. It also provides a detailed walkthrough of a multi-team Medallion-architecture project implemented across two Sprints.
Key Benefits of a Well-Designed CI/CD Framework
Faster, more reliable delivery of analytics features
Improved data quality through structured governance
Higher team productivity and reduced rework
Clean, high-quality data that accelerates AI and analytics adoption
