The chances your organization is drowning in a sea of data are extremely high. Company information, employee details, customer invoices, supplier and vendor documents, customer care data… The list is endless. Considering the humongous volume of data flowing through your business, timely and efficient processing must be one of your highest priorities.
Inaccurate data has a direct impact on the bottom line, and therefore data integrity is critical to the most accurate projection of a company’s health status. Inaccurate and inconsistent data, if fed into an ERP system, can become an ineffective indicator of how your business is performing. If you don’t efficiently deal with data before implementing your ERP system, it could not only result in a failed implementation, but can also take your entire organization down.
Let’s look at why data migration is crucial in ERP implementation, the associated challenges associated, the risks of a poor data migration strategy, and some best practices for ERP data migration to ensure efficiency, adherence to budget, and a smooth go-live.
Why Data Migration is Crucial in ERP Implementation
Data migration is often the foundation or basis to gauge the success or failure of an ERP implementation. Since ERP manages and works primarily with data, efficient data migration is fundamental to an ERP implementation project. Unless the beginning balance of accounts is correct, you cannot expect the system to churn out accurate information.
The main goal of data migration is to ensure that the data being migrated is cleaned of redundancy, duplicity, and relevance. It should be credible and arranged in a manner that can be further analyzed to represent the most accurate picture possible of a business’s health. Key factors that need to be considered for any data migration are:
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