4 Key Success Factors for Managing Data Workflows and Pipelines
Learn how your peers are overcoming hybrid/multi-cloud data complexity
Data-driven businesses depend on fast, accurate, and efficient data workflow and pipeline orchestration. In this report, peer IT leaders share their experiences using Control-M for use cases including file transfers, file monitoring and flagging, and SAP data workflows in production. Learn about the capabilities that matter most for:
- Automation and orchestration to improve speed and accuracy
- Orchestrating data to deliver actionable insights
- Data analytics support to deliver insights to the business
- Optimal performance to meet demanding SLAs
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