TDWI&Precisely:2025年企业自助服务与自动化状况报告(英文版).pdf |
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When self-service first gained traction, the focus was largely on analytics, giving business users easier access to data and visualization tools. Today, self-service extends across the entire data and analytics life cycle. Automation is central to this shift, with low-code and no-code platforms enabling citizen developers to create and manage data processes, improve quality, and ensure integrity—all critical to analytics— without heavy IT involvement. By expanding self-service, orga
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