Operationalization and Orchestration: the Keys to Data Project Success

Organizations are consistently struggling to move data projects from development into production, with the vast majority failing to deliver results due to scaling complexities across the entire data pipeline (ingestion, storage, processing, delivery). To overcome this, a unified workflow orchestration platform is crucial—it bridges the gap between prototypes and enterprise-scale deployment by abstracting the complexity of disparate data tools and enabling end-to-end automation. Solutions like BMC’s Control-M aim to simplify this process by providing visibility, automation, and integration across all stages of the data pipeline, ultimately driving business value from data initiatives.