Begin by gaining a thorough understanding of the data structure in Primetric. Identify the specific tables and fields you need to transfer. Document the data types and any relationships between tables to ensure data integrity during the migration process.

Use Primetric's native export functionality to extract the necessary data. Typically, this involves exporting the data in a format such as CSV or JSON. Ensure that you export all relevant tables and fields that you documented in the previous step.

Set up your MySQL database environment. Create a new database and define tables that mirror the structure of the data exported from Primetric. Pay attention to replicating data types and relationships as closely as possible to maintain data integrity.

Before importing the data into MySQL, clean and transform it as needed. This may involve removing duplicates, handling null values, or converting data types to match those in the MySQL database. Use tools like Python or Excel for this transformation process.

Use MySQL's native tools to import the cleaned data. For CSV files, you can use the `LOAD DATA INFILE` command in MySQL, or use a script to insert data from JSON. Ensure that your MySQL server has the necessary permissions to read the files.

After importing the data, verify that it has been transferred correctly. Check row counts, data types, and relationships between tables to ensure consistency with the original data in Primetric. Use SQL queries to perform these validations.

Once the initial data transfer is complete and validated, document the process for future reference. Consider writing scripts to automate the export, transform, and import steps for regular data updates. This will save time and ensure consistency in future migrations.