Data migrations begin (and end) with data quality

In this white paper, we go into detail about the most common pitfalls and obstacles companies run in to. Most organizations find that an unsuccessful data migration starts with a lack of data quality. Having accurate, high-quality data is essential for a successful migration. The most common issues or problems a business can run into when dealing with data quality include how the data was entered, processed, identified, and integrated, as well as how it ages.

Despite so many potential obstacles, a well-prepared organization can achieve a successful data migration. Planning, getting the buy-in and budget you need, and ensuring you have the right people, processes, and tools to complete the migration can help you avoid many of the challenges most organizations face.

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