This article discusses the challenges organizations face in becoming data-driven and introduces Dynatrace OpenPipeline as a solution to address these challenges. It highlights key obstacles such as managing the cost and scale of large data, understanding context from siloed data sources, and addressing security requirements. Dynatrace OpenPipeline is presented as a stream-processing technology that transforms data ingestion from any source, at any scale, and in any format. It offers features such as data contextualization, security, and real-time processing. The article explains how OpenPipeline works, its scalability, data preprocessing capabilities, and its role in data security and privacy. Additionally, it discusses how OpenPipeline enriches data, normalizes data streams, and provides contextualized insights for improved analytics and automation. The article concludes by emphasizing the value of OpenPipeline in maximizing the potential of data for organizations, reducing costs, and ensuring data security and privacy.