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Kit Analytics Engineering

Tracking-Plan, Datenwörterbuch, dbt-Projektstandard, Datenqualität, Metrikdefinitionen, semantisches Modell, Dashboard-Spezifikationen, BI-Lösungsdesign und Reviews von Datenvorfällen.

Schritt 1

Anforderungen

  1. Analytics Tracking Plan Template (Privacy-First, JSON Schema, GPC)

    Vollständig

    Privacy-first tracking plan: tiers, object_action naming, events, property dictionary, JSON Schema 2020-12, SchemaVer, consent and GPC gating, PII rules, QA

    JSON Schema 2020-12; W3C GPC (Working Draft); ePrivacy Art. 5(3); GDPR Arts. 6-7
  2. Data Dictionary Template

    Standard

    Business and technical definitions per attribute: type, format, allowed values, source, owner, classification, code lists, derived fields

Schritt 2

Umsetzung

  1. dbt Project Standard Template (Analytics Engineering)

    Vollständig

    Layers and folder layout, naming, sources and freshness, tests, contracts, versions, groups and access, docs, macros, environments, slim CI, review checklist, cost guardrails

    dbt Core 1.11/1.12 concepts (Apache-2.0)
  2. Data Quality Standard Template (ISO/IEC 25012, ODCS)

    Vollständig

    Organisation DQ standard: ISO/IEC 25012 vocabulary, tiers, rule catalogue, severity, enforcement points, observability, scorecard, issues, waivers

    ISO/IEC 25012:2008 (names); ODCS v3.2.0; OpenLineage 2-0-2
Schritt 3

Spezifikationen

  1. Metric Definition Template (KPI)

    Standard

    One certified metric or KPI: question, definition, formula, grain, SQL sketch, filters, targets, owners, certification, MetricFlow type mapping

    dbt MetricFlow metric types (Apache-2.0)
  2. Semantic Model Specification Template (Metrics Layer)

    Vollständig

    Datasets and entities, relationships and join keys, dimensions and time grains, measures, metric types, filters, access rules, certification, tests, interchange

    dbt MetricFlow v0.213.0 concepts; Apache Ossie draft (emerging)
  3. Dashboard Specification Template (BI Report, WCAG 2.2)

    Vollständig

    Audience and decisions, questions, KPI list linked to metric definitions, wireframe, filters and drill paths, row-level security, refresh, WCAG 2.2, performance budget, sunset

    W3C WCAG 2.2 (2024-12-12)
Schritt 4

Entwurf

  1. Analytics and BI Solution Design Template (Dimensional Model, Semantic Layer)

    Vollständig

    BI solution design: KPIs, bus matrix, dimensional model, semantic layer (MetricFlow, Ossie status), security, performance, dashboard standards

    Kimball dimensional modelling concepts (structure only); DAMA-DMBOK2 Revised (2024) Data Warehousing and BI; dbt MetricFlow (Apache-2.0)
Schritt 5

Betrieb

  1. Data Incident Postmortem Template (Lineage, GDPR Breach Check)

    Vollständig

    Data incident postmortem: SEV1-SEV4, impact, timeline, lineage blast radius, decisions affected, backfill, SLO breach, GDPR check, DQ rule gaps

    OpenLineage 2-0-2; ODCS v3.2.0; GDPR Arts. 33-34