Data migration has the reputation of being risky and difficult and it’s certainly not an easy process – without a sufficient understanding of both source and target, transferring data into a more sophisticated application will amplify the negative impact of any incorrect or irrelevant data, perpetuate any hidden legacy problem and increase exposure to risk.
In the Life Sciences industry, a structured but lean approach to data migration is vital for success. Such an approach not only ensures data integrity and consistency but also minimises the data migration impact on day-by-day business operations.
Watch this on demand webinar to learn about the main risks and challenges of data migration in Life Sciences and ways to overcome them.
- How to define an adequate data migration strategy including data migration verification
- The main steps in data migration
- Understanding of the major challenges during the data migration and ways to overcome them
Alessandro Longoni is a Senior Business Analyst & Project Manager of Arithmos. He has been working in the field of Life Sciences technology for 13 years and has particular expertise in pharmacovigilance and electronic data management.