Practice
See how major industries use data mining ethically
Data mining becomes ethical when organisations balance insight with responsibility. These real examples show how different industries apply principles of fairness, privacy, and accountability in their everyday data work.
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| Sector | Example | Ethical Controls in Place | Linked SDGs |
|---|---|---|---|
| Healthcare | NHS OpenSafely: a secure research platform analysing anonymised GP data to study health trends and improve treatment. | Data anonymisation, patient consent, strict access controls, and transparency reports. | SDG 3 (Good Health & Well-Being); SDG 16 (Strong Institutions) |
| Retail | Tesco Clubcard Analytics: customer purchase data used to forecast demand and reduce food waste. | Data minimisation, informed consent, ethical analytics, and sustainable reporting. | SDG 12 (Responsible Consumption); SDG 9 (Industry & Infrastructure) |
| Finance | Monzo Bank Fraud Detection: machine learning models spotting unusual transactions while protecting user privacy. | Bias testing, regular audits, fairness monitoring, and clear customer expectations. | SDG 10 (Reduced Inequalities); SDG 16 (Peace & Justice) |
| Transport | Transport for London Open Data: anonymised travel data shared with developers to improve journey planning and reduce congestion. | Aggregation, public benefit focus, open-source collaboration, and privacy preservation. | SDG 11 (Sustainable Cities); SDG 9 (Innovation & Infrastructure) |