4 Key Success Factors for Managing Data Workflows and Pipelines
IT teams tasked with managing complex data workflows and pipelines face
pressure from three separate directions. Their work has to be accurate, but
it must also be done quickly and efficiently. It’s a stressful job as a result,
especially for organizations with complex environments that extend from
critical legacy applications to the cloud. As PeerSpot members who use
Control-M reveal, however, it is possible to flatten the curve and get fast-
er and more efficient while maintaining high levels of quality. They identi-
fy four key success factors: Automation and orchestration capabilities, data
processing capabilities, business analytics, and performance.
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