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In addition, organizations may be relying on outdated japan rcs data tools – traditional querying and aggregation methods often aren’t optimized for real-time data and can result in latency or stale data. Only 25% of enterprises have a high-performance database that can manage unstructured data at high speed, yet operating quickly is crucial to enable real-time analytics.
To make real-time analytics actionable, the write-back latency gap must be addressed. Disregarding write-back latency can lead to significant delays between when data is analyzed and when actions based on that analysis can be taken. This can also lead to missed opportunities or non-ideal business decisions. Organizations that can’t quickly act on real-time insights may fall behind competitors who have successfully minimized their write-back latency.