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Slow BI and dashboards reduce Saas adoption, retention, and revenue. Users explore less, export more, and stop treating analytics as core to their workflow. The impact spreads from engagement metrics to expansion revenue and churn risk. High-performance embedded analytics requires deliberate architecture: intelligent caching, workload separation, and concurrency planning. Teams that design for performance early protect user trust and turn analytics into a competitive advantage.