how do I reproduce the open a/r report with the su...
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how do I reproduce the open a/r report with the suiteanalytics connector
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AI generated answer (using internal Slack threads):
****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ****** To reproduce the Open A/R report with the SuiteAnalytics connector, you would need to create a custom SQL query that pulls the necessary data from the relevant NetSuite tables. Unfortunately, the specific SQL query would depend on your NetSuite setup and the specific data you need in the report. Here are some general steps you can follow: 1. Connect to your NetSuite database using the SuiteAnalytics Connect tool. This tool uses ODBC to connect to your NetSuite data. 2. Identify the tables that contain the data you need for your report. For an Open A/R report, you would likely need to access tables related to customers, invoices, and payments. 3. Write a SQL query that pulls the necessary data from these tables. You would need to join these tables on the appropriate fields to ensure that the data is correctly associated. 4. Run the SQL query using SuiteAnalytics Connect to generate your report. Please note that you would need a good understanding of SQL to write the necessary query. If you're not familiar with SQL, you might want to consider using a third-party reporting tool that can connect to NetSuite via ODBC and provides a more user-friendly interface for creating reports. Remember, SuiteAnalytics Connect provides read-only access to your NetSuite data, so you can't use it to modify your data in any way. It's strictly for reporting purposes.
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.799732864
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.792365372
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.79135859
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