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Data migration is extremely complex. It is especially more challenging when the source data may have a different structure and governance rules than the destination structure. For example, File driven datasets may allow edits of journal entries, as well as debits and credits on the same account. The downstream datasets such as GL entries are far easier than the upstream datasets such as inventory transactions, fixed assets, or projects. If not analyzed carefully, data conversion projects may take forever and might not provide meaningful insights.
In today's episode our guest, Paul Giese, shares insights about the challenges associated with NetSuite data migration. He also talks about how the limitations of QuickBooks may require reversing the transactions before data can be migrated. Finally, he discusses why the upstream datasets such as inventory, sales transactions, projects, and fixed assets could be more challenging to migrate than just the journal entries.
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WBSRocks: Business Growth with Enterprise Software and Digital Transformation