This report details best practices for data monitoring, management, and observability. Successful organizations combine manual checks, secure databases, and strict access controls with modern automated tools for profiling, validation, and anomaly detection. Achievers derive more value by using data catalogs, observability platforms, and automated data management, while Seekers lack systematic processes and incident protocols. Key challenges include budget constraints, data silos, and defining metrics. Recommendations stress fostering a data-centric culture, adopting cross-platform tools, automating monitoring, and aligning KPIs to business goals to improve trust, visibility, and decision-making.

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