Legal Entities

  • Matching Logic

    Tealbook uses a rule-based system to evaluate legal entity (LE) candidates for each incoming supplier record (from the Vendor Master file).It aims to automatically select the best candidate without requiring user intervention. Each rule: Evaluates speci...

  • Understanding Matched Attributes

    OverviewThe Matched Attributes (MAs) field available in your enrichment report identifies exactly which data points on an incoming record matched a candidate in our database. This level of transparency allows you to understand why a specific record was ...

  • Legal Entities Input Schema and Template

    The Excel file linked below provides the data requirements Tealbook needs to properly match your suppliers with legal entities and enrich them. It has two tabs: Input Fields – details on each supported field. Template – a ready-to-use format for easier ...

  • Legal Entities Data Model Refresh Rate

    Data freshness is a priority for TealBook. Each of our data packages comes from a variety of sources, with their own refresh rates outlined below. Data Package Refresh Rate Legal Entity Registration Data TealBook currently targets updating our...

  • Tealbook Data Dictionary

    The TealBook Data Dictionary provides a structured reference for all attributes used by Tealbook. It is designed to help you understand the purpose of each field, how it is represented, and how it contributes to supplier data matching, enrichment or dis...