Suggested Preventions

Preventing problems from occurring in the future is the best possible way to improve data reliability and ensure trust from your business users. bigAI's Suggested Preventions identify opportunities to improve your ETL jobs to prevent potential issues from occurring.

Finding Suggested Preventions on the Lineage graph

When this feature is enabled, you will see new Preventions badges on table-level nodes in all Lineage views within Bigeye. These indicate the number of suggested prevents that have been applied, and the total number suggested.

Example below: 0/4 - there are 4 suggested preventions for the PRICE_REPORTING table in Snowflake and 0 have been applied.

Viewing Suggested Preventions

The new Prevent tab on all table-level objects throughout the Catalog will show the number of suggestions that have been applied, and the total number generated.

Applying Suggested Preventions

Suggestions cannot be applied by Bigeye automatically. You will need to modify your ETL job using your existing software development process.

Once completed, you can check off which suggestions you have applied.

This feedback will be remembered by bigAI and used to improve future suggestions.

YOUR FEEDBACK DOES NOT TRAIN MODELS! Feedback is only used within future prompting of bigAI to generate new suggestions. Your feedback is never used to improve, retrain, fine-tune, or modify the LLM behind bigAI. Your feedback cannot be used to improve results for other Bigeye customers.

Compatibility

bigAI Suggested Preventions currently supports code analysis of dbt Core and dbt Cloud models. Additional providers will be supported soon.