Topic starter
11/11/2026 6:06 pm
TL;DR: Physical security teams are generating more data, but Ontic says analytics maturity still lags because skills and leadership support are inconsistent. Security programmes need governed metrics, or reporting stays descriptive instead of decision-ready.
Editorial analysis by NHI Mgmt Group, based on content published by Ontic: “The State of Data Analytics in Physical Security: Adoption, Challenges, and Opportunities”.
Key questions
Q: Why do physical security analytics programmes stall at early maturity?
A: Physical security analytics programmes stall when they collect alarms and logs without a clear use case, common data model, or accountable owner for action.
Q: What are the signs that security metrics are being tracked but not driving action?
A: A weak metrics program often produces numbers that are reported but not used to change policies, systems, or priorities.
Q: How should physical security teams define metrics for analytics programmes?
A: Use a small set of governed metrics with fixed definitions, owners and review intervals.
Practitioner guidance
- Define a small governed metric set Limit reporting to a short list of indicators with fixed definitions, owners and review intervals so the same measure is comparable across locations and reporting cycles.
- Assign decision ownership for every core metric Name the manager or function that must review each metric, interpret exceptions and trigger follow-up when thresholds are crossed.
- Separate operational metrics from activity reporting Track a clear distinction between counts that describe workload and metrics that inform prioritisation, resourcing or control validation.
Bottom line: Physical security analytics often stalls because teams collect more data than they can govern into stable, decision-ready measures.
Glossary terms: Physical Security Analytics, Operational Metrics, Security Metrics, Maturity Model
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11/11/2026 6:07 pm
Physical security analytics is really a measurement-governance problem. The limiting factor is not the absence of data, but the absence of a shared model for deciding what matters, how it is counted and who acts on it. Where metrics are improvised, programme maturity cannot be compared across teams or over time. Practitioners should treat measurement design as part of security governance, not as a reporting afterthought.
A question worth separating out:
Q: What is the difference between reporting and security analytics?
A: Reporting summarises what happened, usually through fixed dashboards or periodic extracts, while security analytics interprets data to find patterns, anomalies and risk signals that drive action. Reporting answers who saw what and when; analytics supports investigation, prioritisation and control tuning. decision owners and a review rhythm are the governance layer that turns findings into decisions.
👉 Read our full editorial: Physical security analytics stalls when metrics stay ad hoc