Enterprise Data Technology Part 5 — Data Quality With Acumatica

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Analyst Robert Kramer continues his series on enterprise data technology with a detailed discussion of why data quality is so important, and how companies can achieve it.

In today’s business environment, it is essential to maintain a high standard of data quality to support effective enterprise data management strategies. The right use of data improves operational efficiency and supports strategic planning and execution—but only if the quality of the data is good enough for you to rely on it. Organizations must prioritize maintaining and improving data quality to take full advantage of the extensive features within today’s enterprise software applications.

Acumatica stands out because of the importance it assigns to data quality. As Case told me, “The data quality is significant because if all of it is in shape, then suddenly the process of getting the customer to use our modern ERP system versus the legacy systems they are migrating from becomes much simpler.

This process begins by understanding the users and assessing their readiness, which extends to evaluating the capabilities of internal staff and their ability to effectively execute the system’s required functions. Acumatica then follows a detailed process for data management, moving from data assessment and planning through data migration and cleaning, validation and testing and finally go-live and ongoing data management.

 

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