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Data Dictionary

The data dictionary is a document that you, as a FigChain user, provide to describe the structure, contents, and meaning of the data used in your organization.

The most common elements included in a data dictionary are: - Terminology used by your business - Data types and formats - Data sources - Relationships between data elements - Business rules and constraints

Including these elements in your data dictionary helps the AI model understand your organization better, leading to more accurate insights, recommendations, and suggestions.

The most effective way to specify your data dictionary is to provide clear, concise, and comprehensive descriptions for each element, and to keep each point focused and easy to understand. Bullet points are a great way to achieve this, but don't be afraid to use short paragraphs or examples where necessary to clarify complex concepts.

Examples

  • Terminology: "Customer ID" - A unique identifier assigned to each customer.
  • Data type: "Customer ID" - String, 10 characters maximum.
  • Data source: "Customer ID" - Generated by the CRM system.
  • Relationship: "Customer ID" - Links to orders in the Orders table.
  • Business rule: "Customer ID" - Must be unique and not null.

Tips

  • Don't include too many points about a single concept as the most important details can get lost in the noise.
  • Use consistent terminology and formatting throughout your data dictionary to make it easier to read and understand.
  • Regularly review and update your data dictionary to ensure it remains accurate and relevant as your organization's data evolves.