Topic starter
02/08/2026 12:09 pm
TL;DR: Telemetry ROI should be measured by value created, not only by GB/day reduction, because cutting logs, context, and enrichment can slow investigations and weaken compliance outcomes, according to DataBahn. The practical shift is to treat data pipelines as value-bearing security controls, not just cost centres.
Editorial analysis by NHI Mgmt Group, based on content published by DataBahn: “Rethinking Data ROI: A FinOps Approach to Measuring Value, Not Volume”.
Key questions
Q: How should security teams measure data ROI beyond ingestion cost?
A: Measure whether telemetry improves detection quality, investigation speed, compliance evidence, and cross-team reuse.
Q: Why do telemetry cost cuts sometimes increase security risk?
A: Because the first data removed is often the most useful for correlation, such as authentication context, endpoint detail, or enriched network fields.
Q: What breaks when enrichment is removed from the pipeline?
A: Filtering becomes blind, so routing decisions are based on raw volume instead of context.
Practitioner guidance
- Define value-based telemetry tiers Classify logs and events by the outcomes they support, such as detection, investigation, compliance evidence, or operational troubleshooting, rather than by source alone.
- Preserve high-value context upstream Protect authentication context, endpoint attributes, DNS fields, and application detail in the pipeline before routing decisions are made.
- Map pipeline decisions to governance outcomes Tie enrichment, normalisation, and retention rules to measurable outcomes such as investigation speed, audit readiness, and analyst confidence.
Bottom line: Telemetry cost management becomes risky when it removes the context needed for detection, investigations, and auditability.
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02/08/2026 1:13 pm
Telemetry value, not telemetry volume, is the real control problem. When teams optimise only for GB/day or storage cost, they often remove the exact fields that make detections trustworthy and investigations fast. That is a governance failure, not an engineering inevitability, because the pipeline should preserve the signals that carry operational meaning. Practitioners should treat telemetry selection as a control decision, not a cost hygiene task.
A question worth separating out:
Q: How do data pipelines affect security governance decisions?
A: They determine which signals survive, how they are normalised, and whether teams can trust them later. That makes the pipeline part of governance, not just transport. If lineage, timing, and handling rules are inconsistent, every downstream security and compliance decision becomes harder to defend.
👉 Read our full editorial: Data ROI is a security governance problem, not just a cost issue