Data Automation in Hybrid Data Ecosystems

This white paper discusses the modernization and operation of hybrid data ecosystems (HDEs) and the role of data automation in enhancing analytics and data management technology. It outlines the competitive pressures that necessitate continual advancements in these areas, emphasizing that organizations often manage multiple platforms, which can complicate operations. The paper presents findings from recent research indicating that a significant percentage of organizations are adopting automation to address the complexities of HDEs. Key drivers for this automation include business requirements and new analytic needs. The document details various automation tools and methodologies, including data warehouse automation, modern data integration, and DataOps, which are increasingly prioritized by organizations. It also highlights the current state of automation maturity in managing HDEs, noting that many organizations are still in the early stages of implementing comprehensive automation strategies. The paper concludes by stressing the importance of adopting aggressive automation programs to maintain a competitive edge.