What is a consequence of the "before Splunk" state?

The consequence of the "before Splunk" state is often characterized by wasted time. Organizations that lack a comprehensive data analytics solution like Splunk typically struggle with inefficient processes, manual data handling, and time-consuming searches for insights. Prior to implementing Splunk, teams may spend excessive amounts of time collating and processing data from disparate sources without the benefit of automation or advanced analytics. This hinders their ability to make timely and informed decisions, leading to delays and inefficiencies in business operations.

On the other hand, options such as increased collaboration, innovative technology solutions, and enhanced market presence are generally outcomes or benefits that arise after the adoption of such advanced tools and not characteristics of the state prior to using them. This context reinforces why wasted time is a fitting consequence of operating without a powerful data platform like Splunk.