We continue our series on correlation analysis by examining use cases in eCommerce, especially in optimizing promotions and ad spend.

The first article in a three-part series on correlation analysis, and why pairing it with anomaly detection greatly facilitates root cause analysis, reducing time to detection (TTD) and time to remediation (TTR), as well as alleviating alert fatigue.

Many companies have tried to feed business data, such as business activity, into IT or APM monitoring solutions, only to discover the data is too dynamic for static thresholds. Some companies choose to depend on analyze BI dashboards to find issues, but that leaves anomaly detection to chance. As companies have tried to solve these challenges, AI is driving a future where monitoring business data is monitored autonomously.

Many companies have tried to feed business data, such as business activity, into IT or APM monitoring solutions, only to discover the data is too dynamic for static thresholds. Some companies choose to depend on analyze BI dashboards to find issues, but that leaves anomaly detection to chance. As companies have tried to solve these challenges, AI is driving a future where monitoring business data is monitored autonomously.

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