Data Incompatibility
Optimizing and simplifying integration between different systems and formats.
Lack of Validation
Improving data quality and integrity by finding and resolving insufficiencies.
Data Mapping
Mapping data from sources to the relevant fields and evaluating data variation.
Data Volume Mismanagement
Taking care of large volumes or complex data structures during the migration.
Increased Downtime and Disruption
Minimizing downtime and disruption to business operations while data migration.
Irregulated Data Security and Privacy
Checking the vital data security and privacy throughout the migration process.