Why pay to move, store, and secure data you're just going to throw away?

The conventional approach—moving raw data for analysis before filtering it—is fundamentally broken. It creates a three-pronged crisis that penalizes your success. First, runaway platform costs, as tools like Splunk become seven-figure line items and budget overruns stall critical projects. Second, pervasive instability, with engineers spending up to 80% of their time on 'pipeline toil' instead of innovation. Finally, escalating risk, as moving raw, sensitive data across the network creates a compliance minefield, exposing your organization to significant penalties. You are paying for transport, ingestion, and storage before the value of the data is ever determined.