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Murillo Costa
Step 09 · Documentation

Governance, Quality & OperationsGreenBox Enterprise Data Architecture

Make the data platform maintainable, accountable, observable and safe to operate.

  • Fictional case study
  • Business-led architecture
  • Illustrative, not production-validated
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1. Governance operating model

Purpose, scope, and design intent for this phase.

This page documents a proposed approach for the fictional GreenBox portfolio. Decisions and outcomes are illustrative until validated against business requirements, source data, security constraints, and measured implementation results.

Design area 01

Roles and accountability

Define business owners for terms and KPIs; data stewards for definitions and quality rules; platform owners for security and reliability; analytics engineering owners for transformations and tests. Confirm actual role assignments before implementation.

Design area 02

Data quality dimensions

Completeness, validity, uniqueness, consistency, timeliness, referential integrity and reconciliation. Select checks based on business risk rather than applying every check indiscriminately.

Design area 03

Critical controls

Source freshness; primary-key uniqueness; relationship integrity; valid statuses; duplicate detection; quantity and financial reconciliation; late-arriving data monitoring; source-to-target row-count monitoring where meaningful.

Design area 04

Lineage and cataloguing

Document source-to-target mappings, dbt model dependencies, metric lineage, owners, sensitivity classifications and known limitations. Keep business glossary terms aligned with semantic definitions.

2. Implementation considerations

Controls and decisions to make the design supportable, explainable, and testable.

Security and privacy

Least privilege; role review; protected sensitive data; approved handling of personal information; secure secrets; controlled non-production data; auditability. Portfolio examples must use synthetic information.

Operations and incident management

Define monitoring, alerts, severity, runbooks, incident ownership, retry/recovery behaviour, backfill procedures and communication paths. Track freshness and failures against service expectations.

Cost and performance

Review warehouse consumption, query patterns, storage, refresh schedules and unused resources. Use resource monitors and periodic optimisation based on observed workloads.

Change and release management

Version control; peer review; automated tests; controlled promotion; rollback strategy; documented breaking changes; approval for KPI definition changes.

3. Acceptance criteria and handoff

Evidence required before this phase should be considered complete.

Step 09

Acceptance criteria

Named owners; quality rules and thresholds; monitored pipelines; access review process; incident runbooks; lineage and documentation; repeatable deployment; recorded issue and change history.

  • Requirements and assumptions are documented and traceable.
  • Business owners and technical owners are identified where applicable.
  • Security, quality, and operational implications are considered.
  • Validation evidence is captured; proposed designs are not presented as implemented outcomes.

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