Even a modest sized data migration project will inevitably uncover dirty data - and probably lot’s of it.
The key to success is to prioritise and focus your data cleansing efforts in order to cut the “wheat from the chaff” and find the data quality issues that really impact your data migration project.
There are numerous anecdotes of organisations cleansing vast amounts of legacy data that is not business or project critical.
Data migration guru John Morris sums this up with his Golden Rule No.3:”No organisation needs, wants or will pay for perfect quality data”.
But how do we categorise what “perfect quality data” is for our data migration projects?
John Platten from UK data migration specialists Vivamex has just written a great article on this very subject available from Data Migration Pro by clicking on the link below:
Data Cleansing Categorisation for Data Migration Projects
There are heaps more articles on data migration strategy, data migration technology, data quality, data integration and many other disciplines on Data Migration Pro, here are just use some of the following links:
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