Risk management that reacts to yesterday’s news is failed risk management. — Douglas W. Hubbard✦
Framework library
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Operational Loss Database & Insight System

A governed loss-data structure that turns incidents, financial impacts, recoveries and root causes into usable management insight.

Loss dataIncidentsRisk analytics

01 / The problem

Why the usual approach falls short

Loss events are often recorded inconsistently across teams, making it difficult to identify recurring causes, measure exposure or prioritise control investment.

02 / Design logic

The operating principles

  1. 01

    Apply a consistent taxonomy for event type, cause, business line and impact.

  2. 02

    Separate gross loss, recovery, near miss and potential exposure while preserving an audit trail.

  3. 03

    Connect events to failed controls, remediation actions, KRIs and accountable owners.

  4. 04

    Use trend analysis and decision-ready dashboards to focus management attention.

03 / Intended outcome

What better looks like

A reliable evidence base for prevention priorities, capital and scenario analysis, control improvement and executive reporting.

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