Data migration
Post-migration: After data migration, results are subjected to data verification to determine whether data was accurately translated, is complete, and supports processes in the new system. During verification, there may be a need for a parallel run of both systems to identify areas of disparity and forestall erroneous data loss. Additional documentation and reporting of the migration project is conducted, and once the migration is validated complete, legacy systems may also be decommissioned. Migration close-out meetings will officially end the migration process.
High frequency data
"Data Management" refers to the process of selecting a specific time-series of interest within a set of ultra-high frequency data to be pulled and organized for the purpose of an analysis. Various transactions may be reported at the same time and at different price levels, and econometric models generally require one observation at each time stamp, necessitating some form of data aggregation for proper analysis. Data management efforts can be effective to remedy ultra-high frequency data characteristics including irregular spacing, bid-ask bounce, and market opening and closing.