how would you create an analytics report to identi...
# ask-stanley-ai
p
how would you create an analytics report to identify manually created transactions through the ui or csv import
c
AI generated answer (using internal Slack threads):
To create an analytics report to identify manually created transactions through the UI or CSV import, you can use a combination of NetSuite's built-in features and SuiteScript. 1. NetSuite's Built-in Features: In a transaction search, there is a 'Created By' column that can help identify the user who created the transaction. However, this might not be sufficient to distinguish between system-generated and manually created transactions. For instance, a revenue recognition journal created by a user could also be considered system-generated as NetSuite calculates what should be recorded. To address this, you can exclude the transactions you consider system-generated. Additionally, the 'context' of the first system note should be 'UI' for manually created records. 2. SuiteScript: If you need to identify manually created transactions in a script, you can use the
runtime.ContextType.USER_INTERFACE
in a before submit user event. This will allow the script to only fire when a transaction is manually created. However, be aware that this might not cover cases where transactions are created through CSV import. You might need to incorporate additional logic to handle such cases. Here is a sample code snippet:
Copy code
javascript
if (runtime.executionContext === runtime.ContextType.USER_INTERFACE) {
    // Logic for manually created transactions
}
Remember, this approach might require additional customization based on your specific needs and the complexity of your system. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.833936095
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.801387131
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.797965825
Please provide your feedback on this answer.
Thank you for your feedback