GDPR Data Compliance
Term 36 of 68 in the ERPStack technical glossary
What is GDPR Data Compliance?
The General Data Protection Regulation (GDPR) is a comprehensive European Union regulation establishing strict guidelines for the collection, storage, and processing of personal data belonging to EU citizens.
GDPR Data Compliance at a glance
- Instrument
- Regulation (EU) 2016/679, adopted 27 April 2016 and applicable from 25 May 2018
- Breach notification
- Article 33 — the supervisory authority told without undue delay and within 72 hours where feasible
- Subject request
- Article 12(3) — answered within 1 month, extendable by 2 further months
- Upper fine tier
- Article 83(5) — up to 20 000 000 EUR or 4 % of total worldwide annual turnover
- Built with
- Subject-identity mapping in PostgreSQL 18 via Drizzle ORM 0.45, export and erasure paths in Next.js 16, RBAC and SSO over them, Sentry payloads scrubbed, backups on AWS covered by policy
- Numbers that matter
- Regulation (EU) 2016/679 of 27 April 2016; applicable 25 May 2018; 72 hours to notify; 1 month to answer; up to 20 000 000 EUR or 4 % of turnover
- Adjacent regimes
- SOC 2, ISO 27001, HIPAA and FERPA Education Compliance
- Commonly paired with
- A CRM subject-request path, Row-Level Security and RBAC over PostgreSQL 18, SSO on operator access, Drizzle ORM 0.45 deletion paths, Sentry payload scrubbing, ClickHouse extract coverage and WORM retention rules
- Systems in scope
- The ERP on PostgreSQL 18, a CRM, ClickHouse extracts, MongoDB Atlas collections, Redis caches, Sentry payloads and AWS backups — 7 surfaces, 1 subject identifier.
- Who feels it first
- healthcare, finance, insurance and retail estates, plus any SaaS processor acting for a controller inside the European Union.
How GDPR Data Compliance works in production
The ERPStack approach to GDPR Data Compliance
We build GDPR-compliant systems with automated data deletion scripts and encrypted user schemas, ensuring your global platforms avoid privacy compliance penalties.
Frequently asked questions about GDPR Data Compliance
What does GDPR Data Compliance require technically?
That personal data can be found, explained, exported and erased on request. Data Compliance under Regulation (EU) 2016/679, applicable since 25 May 2018, turns those rights into engineering requirements: a data map, a lawful basis recorded per purpose, retention rules that actually delete, and access controls that limit who can read what. A schema where personal data is scattered across denormalised copies makes all 4 harder.
How quickly must a breach be reported?
Article 33 requires notification to the supervisory authority without undue delay and, where feasible, not later than 72 hours after becoming aware of a personal data breach. Data Compliance therefore depends on detection: a clock you cannot start is a clock you will miss. That is why logging, alerting and a rehearsed response path are compliance controls rather than purely operational ones.
What are the penalties for getting it wrong?
Article 83(5) sets the upper tier at up to 20 000 000 EUR, or up to 4 % of total worldwide annual turnover of the preceding financial year, whichever is higher. Beyond fines, Data Compliance failures carry an obligation to inform affected individuals and the reputational consequences that follow. The asymmetry is the point: prevention is cheap relative to either outcome.
How does data minimisation change system design?
It reverses the default. Data Compliance treats collecting a field you do not need as a liability rather than an option, so schemas start from the minimum and expand deliberately. Practically that means avoiding personal data in logs, keeping identifiers rather than copies in analytics, and setting a retention period per table at creation — because a field nobody planned to delete tends to survive indefinitely.