What is the process for determining the types of transactions that are stored?

The process for determining the types of transactions that are stored hinges on following a method of comparison to a predefined baseline. By focusing on only those transactions that differ from the baseline, the system effectively captures significant variations or anomalies in data, which could indicate changes in user behavior, system performance, or other noteworthy events. This selective approach helps in optimizing storage and analysis, ensuring that only meaningful or important transactions are retained for further scrutiny or reporting.

In a digital transformation context, particularly with cloud security and network monitoring like Zscaler, identifying deviations from a baseline is crucial for detecting security threats or operational inefficiencies. Maintaining a repository of baseline comparisons helps organizations to respond proactively rather than reactively, which is a key aspect of digital transformation.

The other approaches either involve indiscriminate data retention or poorly defined criteria for storage, which may lead to excessive data management challenges or overlook significant changes that could impact performance or security. For effective transaction management, focusing on uniqueness and variations in data ensures that resources are used efficiently and insights are actionable.