Is it feasible to implement a fully dynamic Manage...
# ask-stanley-ai
i
Is it feasible to implement a fully dynamic Management Cash Flow Statement that starts from EBITDA and isolates true cash vs non-cash movements for every GL account. The report must provide a clear breakdown of operating, investing, and financing cash flows, reconcile precisely to opening and closing bank balanc
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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. ****** Based on the conversations, it seems that creating a fully dynamic Management Cash Flow Statement that starts from EBITDA and isolates true cash vs non-cash movements for every GL account in NetSuite might be challenging. While it is possible to forecast bank balance based on due dates for Accounts Payable and Receivable, and even do running totals, it might not be straightforward to implement this in a saved search as you need to add sums from one row to the other and carry it over the future dates. When it comes to cash basis reporting, it appears that not all reports in NetSuite support this. For instance, the Balance Sheet does not support cash basis reporting even when the cash basis reporting option is checked under Accounting Preferences. Therefore, while it might be theoretically possible to create such a report, it would likely require significant customization and potentially the use of additional tools or services. It's also important to note that the accuracy of such a report would heavily depend on the quality and completeness of the data in the system.
Slack thread 1: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.813293457
Slack thread 2: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.811950684
Slack thread 3: here (available only if the original thread was posted in the last 90 days)
Similarity score: 0.809814453
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