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For a successful data migration project you need highly skilled data migration analysts, an experienced data migration lead, the right methodology and adaptable technology.
Devising a migration strategy and getting full business buy in is important to start a project.
What type of data migration is going to be the most appropriate for your project? Department by department e.g. projects then finance or static data and balances then transactions.
What data volume is expected? How many records? Which entities have the most data to be migrated? Is transactional history required or are balances all that is required?
Who is the solution architect? Who will perform the sign off on the data migration? What responsibilities do the SI, the data migration team and the client have throughout the project.
In a data migration project, failing to plan really is planning to fail!
You need to know your source and destination, tables and columns down to the data types and lengths.
Source data needs to be analysed and updated at source if possible. You can also translate in process.
You need to know how many entities there are and the counts for each of the entities you need to migrate.
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Moving from one application to another requires a data migration. Getting it right first time is imperative to keeping costs down.
To run a successful data migration project you need a tried and tested data migration methodology
You need skilled data migration analysts and a data migration lead with experience in similar ERP, Finance or CRM migrations.
Large projects require more DM cycles which take longer. Rushing a project is not recommended nor is skipping any steps.
