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Autonomous Data Management

Requirements, Use Cases, and Guidelines

Data teams need to get more productive, and fast, to reconcile booming data supply and demand. Autonomous data management (AutoDM) solutions can help ease bottlenecks for data teams by using metadata, automation, and artificial intelligence to standardize and accelerate data delivery. While the concept is not new, advances in computing power and advanced analytics algorithms make AutoDM viable for many modern enterprises.

AutoDM helps data teams control their environment, reduce human tasks, and automate human decisions. It uses metadata to guide users with prompts and recommendations as they manage three domains— operations, pipelines, and governance—in the cloud and on premises. AutoDM reduces the human effort to support multiple use cases across these domains.

Leaders of data teams should take the following steps to achieve the intended results with AutoDM software.

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