Feature update

Build Business Lineage Faster with AI Suggestions Across Glossary and Catalog

Adela Budinska
August 30, 2025 | 2 min read
Connecting business terms to the right technical objects is one of the hardest parts of governance. It takes time, creates backlogs, and often stalls lineage projects. Teams often spend weeks searching for the right data fields or structures that match a glossary term, slowing down adoption and leaving gaps in compliance. Accurity Business Lineage AI Suggestions solves this problem.

How It Works 

Accurity uses a trained AI model that understands the meaning of words, not just exact matches. It compares glossary terms with catalog objects and proposes the most likely links in both directions. 

  • From glossary to catalog 

    • Glossary term: Employee Headcount by Department 
      → Suggested catalog objects: HR_Staffing_Table, Dept_Headcount_Field 

    • Glossary term: Net Revenue Recognition 
      → Suggested catalog objects: Revenue_Journal_Table, Net_Rev_Calc_Field 

  • From catalog to glossary 

    • Catalog object: Customer_Order_Date 
      → Suggested glossary terms: Order Lifecycle, Sales Transaction 

    • Catalog object: Product_Return_Code 
      → Suggested glossary terms: Returns Process, Quality Issue Classification 

Each suggestion includes a confidence score so users can decide quickly. Existing links are skipped automatically, and suggestions are always ordered with the most relevant match first. 

Multilingual Built-In 

The model understands multilingual content. If your business glossary is in German and French while your data catalog is in Dutch, it still works. The AI compares meaning, not only surface words, which makes cross-language discovery possible. 

Key Benefits 

  • Accelerate business lineage by reducing manual search and mapping 

  • Work smarter with AI that understands context and meaning 

  • Support multilingual teams without extra configuration 

  • Improve governance quality by ensuring glossary terms are consistently linked to data assets 

  • Keep control with human review for every suggestion 

Why It Matters 

Competitors like Collibra and Atlan promote AI discovery, but their focus is mostly on metadata enrichment. Alation uses AI for curation, but it does not natively support multilingual linkage. Accurity Business Lineage AI Suggestions goes further. It directly connects the business glossary with the data catalog across languages with confidence-scored proposals that users review and approve. 

When glossary and catalog are connected, business lineage builds itself. Compliance checks are faster. Data requests resolve in minutes. And governance becomes something teams want to use, not avoid. 

Adela Budinska
Marketing Specialist

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