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Data Catalogue and Business Glossary Workbook

Enterprise metadata governance standard providing canonical business term definitions, physical-to-logical data asset mappings, certified data ownership registers, and steward workflows.

TEMPLATE // INSPECT: TPL-AIM-007MODIFIED: 2026-09-19
CATEGORYData, AI & Machine Learning
VERSIONv1.0.0
RISK LEVELMEDIUM
ARTIFACT CLASSXLS
FORMATSPDF, MD, MERMAID, SVG, XLSX
AI & EXECUTIVE SUMMARY

Metadata architecture workbook aligning business terms with physical warehouse schemas, data sensitivity labels, and steward certification workflows.

Important Tech Document Template & Operational Notice

TinyCTO.tv Tech Document Template Notice: This template is a general educational and operational starting point. It is not legal, tax, accounting, investment, procurement, regulatory, security or certification advice. Requirements vary by jurisdiction, organization, contract and risk. Review and adapt it with qualified professionals before relying on it.

Problem Solved

Different business departments define core concepts (such as "active user", "churn", or "revenue") inconsistently, creating contradictory board reports and massive friction across data initiatives.

When to Use

  • Establishing a single source of truth for corporate KPI definitions and semantic data entities
  • Implementing automated metadata scanning with tools like DataHub, Purview, or Collibra
  • Onboarding business and data stewards to manage data certification workflows

When NOT to Use

  • For code-level source software programming syntax documentation
  • For static network hardware inventory management (use TPL-OPS-014)

5 Template Sections & Structural Outline

1. 1. Canonical Business Glossary & Taxonomiesstandard, enterprise

Authoritative business definitions, synonyms, acronyms, and mathematical metric calculation formulas.

Guidance:Every metric must define a single unambiguous canonical calculation method approved by the Finance and Operations leads.
2. 2. Physical Asset Catalog & Schema Mappingsstandard, enterprise

Database tables, columns, data types, physical constraints, and automated crawler metadata links.

Guidance:Map every physical database column directly to an approved business term in the glossary.
3. 3. Data Stewardship & Governance Workflowsstandard, enterprise

Business Data Steward and Technical Data Custodian RACI roles, certification review cadences, and approval gates.

Guidance:Enforce a "Certified Asset" badge system so analysts immediately know which tables are production-ready.
4. 4. Sensitivity Classification & Security Taggingstandard, enterprise

Classification tagging (Public, Internal, Confidential, Restricted), PII flags, and regulatory scope identifiers.

Guidance:Tag all columns containing GDPR/KVKK personal data automatically during metadata ingestion.
5. 5. Searchability, Lineage & Discovery Operationsstandard, enterprise

Metadata tagging standards, search ranking parameters, upstream/downstream lineage graphs, and usage metrics.

Guidance:Deprecate unqueried "dark data" assets older than 180 days to streamline discovery searches.

Completion Instructions

1. Review blank document. 2. Adapt worked scenario to company scale. 3. Validate against review checklist.

Independent Review Checklist

  • All mandatory sections completed
  • No secrets or passwords included
  • Executive sponsor sign-off obtained
WORKED SCENARIO SHOWCASE

Data Catalogue and Business Glossary Workbook - Worked Case Study

Fictional Entity: Sovereign Banking Group Enterprise Data Governance

Real-world production case study demonstrating complete operational adoption for Sovereign Banking Group Enterprise Data Governance.

Key Highlights & Outputs:
  • Unified 240 conflicting enterprise KPI definitions into a single authoritative business glossary
  • Certified 1,450 critical warehouse tables with automated steward assignments and lineage links
  • Eliminated 9 contradictory quarterly regulatory reporting variances across risk and finance

Frequently Asked Questions

What is the difference between a Business Glossary and a Data Dictionary?

A Business Glossary defines concepts and terms in business language independent of systems; a Data Dictionary describes physical database structures, tables, data types, and constraints.

What is a "Certified Data Asset" badge?

A governance certification mark indicating that a dataset has a verified data steward, documented lineage, passes automated quality tests, and meets corporate privacy standards.

How does automated metadata ingestion keep the catalog synchronized?

Automated crawlers connect to databases, dbt repositories, and BI platforms nightly to reflect schema changes, column additions, and usage statistics without manual data entry.

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Individual Artifacts (.zip)
TPL-AIM-007-Data-Catalogue-and-Business-Glossary-Workbook-Blank-EN.xlsxXLSX
all10.0 KB
TPL-AIM-007-Data-Catalogue-and-Business-Glossary-Workbook-Example-EN.xlsxXLSX
all10.0 KB
TPL-AIM-007-Veri-Katalo-u-ve-S-zl-al-ma-Kitab-Bos-TR.xlsxXLSX
all10.0 KB
TPL-AIM-007-Veri-Katalo-u-ve-S-zl-al-ma-Kitab-Ornek-TR.xlsxXLSX
all10.0 KB
TPL-AIM-007-Data-Catalogue-and-Business-Glossary-Workbook-Blank-EN.pdfPDF
all97.8 KB
TPL-AIM-007-Data-Catalogue-and-Business-Glossary-Workbook-Example-EN.pdfPDF
all97.0 KB
TPL-AIM-007-Veri-Katalo-u-ve-S-zl-al-ma-Kitab-Bos-TR.pdfPDF
all234.9 KB
TPL-AIM-007-Veri-Katalo-u-ve-S-zl-al-ma-Kitab-Ornek-TR.pdfPDF
all241.1 KB
TPL-AIM-007-Data-Catalogue-and-Business-Glossary-Workbook-Blank-EN.mdMD
all2.0 KB
TPL-AIM-007-Data-Catalogue-and-Business-Glossary-Workbook-Example-EN.mdMD
all2.1 KB
TPL-AIM-007-Veri-Katalogu-ve-Is-Sozlugu-Calisma-Kitabi-Bos-TR.mdMD
all2.2 KB
TPL-AIM-007-Veri-Katalogu-ve-Is-Sozlugu-Calisma-Kitabi-Ornek-TR.mdMD
all2.3 KB
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