Creating Descriptions
How to optimize your description to maximize accuracy
Creating Descriptions
Descriptions are a key factor in leveraging Lume effectively. They can directly enhance mapping accuracy depending on the use case. Here are some comprehensive tips and best practices for optimizing your Lume descriptions.
Write in Full Phrases
Writing descriptions in full phrases provides more context and clarity, which helps the AI understand the data better.
Example
Example
Ideal: The user name of the incoming customer.
Explanation: This full phrase clearly indicates what the field represents, reducing ambiguity.
Baseline: username
Explanation: This single word provides minimal context, making it harder for the AI to interpret accurately.
Provide Business Context
Including business context in your descriptions is crucial for domain-specific or company-specific definitions. This helps the AI consider the nuances of your specific use case.
Example
Example
Ideal: A list of employee benefits. Internally, this is considered as all benefits that are not pulled from employee salary.
Explanation: This detailed description clarifies how your company defines and uses this field, which can differ from other companies.
Baseline: A list of employee benefits.
Explanation: This description lacks specific context, which may lead to misinterpretation by the AI.
Define Edge Cases as Needed
Explicitly defining edge cases in your descriptions can significantly improve mapping accuracy by guiding the AI on how to handle special scenarios.
Example
Example
Ideal: The user name of the incoming customer. If the user name is an email, select null.
Explanation: This description provides clear instructions for handling a specific edge case, ensuring consistent data mapping.
Baseline: The user name of the incoming customer.
Explanation: This description does not address potential edge cases, which could lead to inconsistent handling.
Additional Tips
- Use Clear and Concise Language: Avoid jargon and ambiguous terms. Clear descriptions help the AI understand your data better.
- Be Specific: The more specific your description, the better the AI can map the data accurately.
- Review and Update Regularly: As your business needs evolve, make sure to review and update your descriptions to maintain accuracy.
For more help tailoring your descriptions to your unique workflow, reach out to the Lume team. We are here to assist you in optimizing your data mappings.