One of the common reasons why most businesses tend to find it hard to implement Enterprise Resource Planning (ERP) is because they are conscious of their vital data and want to do whatever they can to protect it during the ERP implementation process. No matter the reason why most businesses choose not to implement it, data migration is not something that is done overnight, without careful planning and preparation. I know that you are thinking, with the advancement of technology, can’t one just migrate data from an old system to a new system? You can’t bypass the work required to successfully migrate your company’s data to the new system if you value the data.
Data migration is the process of moving, copying and restructuring data from an old system to a new system. Data migration covers all steps such as cleaning, correcting and movement of data into the new system. Migration of data is very strategic to the success of the implementation process.
To achieve an effective migration, old data needs to be mapped into the new system. Every good data migration during the ERP implementation must be able to reduce risk. The information in a company database is one of its business assets. The data carries everything about the company. During data migration, the risk of data loss must be eliminated. Secondly, data migration should improve data quality. This is to ensure perfect data integrity.
During data migration, one should be able to analyze and design the model. Analysing involves defining the scope of the project and key parties must be involved in this process. It also involves describing the requirements for what you want to migrate to. The design model has to be simple to make it easier to detect errors and run updates.
Another important thing to be aware of is the scrubbing of data, which signifies the deletion of data that is not needed to accommodate space. Testing during data migration cannot be overemphasized. There is need for extensive testing of the imported data. No matter how smoothly the importation of the data goes, you need to test as many scenarios as possible to confirm the integrity of the data. Just because you have imported the same data that you had in the old software package doesnât mean that it will be sufficient for the new one.
Implementation of a new ERP system is a daunting task and most of its success lies on the quality of the data. Prior preparation will be necessary to ensure that data is of high quality and ready when needed in the implementation process.