Data quality: measuring it before anyone argues about it
Data quality has dimensions you can measure — completeness, validity, consistency, timeliness. How to set rules, report them, and fix causes rather than records.
A double materiality assessment asks what sustainability topics affect the business and what the business affects. How to run one that produces a defensible list.
A double materiality assessment decides which sustainability topics a company has to report on, and it asks the question twice. Impact materiality: what effect does the business have on people and the environment. Financial materiality: what effect do sustainability matters have on the business — its costs, its access to capital, its licence to operate. A topic is material if it passes either test, which is why the exercise produces a longer list than the financial-only version companies were used to.
The two directions genuinely differ, and conflating them is the most common error. Climate is financially material to almost everyone; whether your own emissions are impact-material depends on their size. A topic can be impact-material with no financial consequence to you at all, and reporting it anyway is the point of the double test rather than an oversight in the design.
Ettex Records suits this as a record per topic — scores, reasoning, stakeholders, date, owner — rather than a document, because the value is in comparing this year to last and showing what changed. Keep the stakeholder input attached to the topic it informed instead of in a separate consultation file. It should feed the risk register directly, since a financially material topic that never reaches risk management has been assessed and then ignored. Ettex does not interpret reporting standards, does not score materiality and is not a substitute for advice on which regime applies to you — the thresholds and timelines differ by jurisdiction and are still moving.
Primarily companies caught by sustainability reporting regimes with a double materiality basis, notably in the EU. Many smaller companies do it anyway because larger customers ask for the output as part of their own value chain assessment.
Annually as a review, with a fuller reassessment on material change — an acquisition, a new market, a shift in the supply base. The comparison across years is what makes the current version credible.
Not for impact materiality, which is by definition about effects on others. You can scale it — a few structured conversations with worker representatives, customers and affected communities is proportionate for most companies — but replacing it with internal judgement produces an assessment that only measures what management already believed.
Data quality has dimensions you can measure — completeness, validity, consistency, timeliness. How to set rules, report them, and fix causes rather than records.
Redundancy consultation has timescales, thresholds and a required order. What must happen before notice, and the shortcuts that turn a redundancy into a claim.
A lone working policy covers people who work without direct supervision. What to assess, what check-in actually works, and the failure mode nobody plans for.