DataOps Methodology

The IBM DataOps Methodology is designed to enable organizations to utilize a repeatable process for building and deploying analytics and data pipelines. By following data governance and model management practices, they can deliver high-quality enterprise data to enable AI¹. It focuses on the orchestration of people, process, and technology to deliver trusted, high-quality data to data citizens quickly. The practice aims to drive agility, speed, and new data initiatives at scale². The IBM DataOps Program emphasizes building a data-driven culture that integrates automation, data quality, and governance³. In summary, DataOps ensures efficient collaboration across an organization to achieve agility and speed in data initiatives while maintaining data quality and trust. 🌟🔍🚀