What is the outcome of implementing effective data retention policies in Splunk?

Implementing effective data retention policies in Splunk is crucial for managing the lifecycle of data. By defining clear rules about how long data is retained, organizations can significantly reduce their storage costs. Since Splunk stores large volumes of machine-generated data, having a well-defined retention policy helps ensure that only relevant and necessary data is kept, while obsolete or unneeded data can be appropriately archived or deleted. This not only saves money on storage resources but also optimizes performance by reducing the amount of data that needs to be processed and indexed.

While options related to event visualization, user experience during searches, and event processing speed may be positively influenced indirectly by improved data management, the most direct and clear outcome of implementing effective data retention policies is indeed cost savings in data storage.