Data Migration Process Diagram Sample Clauses

Data Migration Process Diagram. Successful data migration starts with the Assessment phase, leverages automation and collaborative Vendor and County activities. Table 4 provides a description of each data activity in the data migration process. Figure 5 below illustrates the data conversion process. Table 4. Process Activity Description MIGRATION PROCESS ACTIVITY DESCRIPTION Develop Data Migration Strategy Defines and documents the high-level scope of the data migration and begin the design of the physical migration. The strategy encompasses previously identified requirements. Additional research is performed as needed to determine an applicable strategy to meet the requirements. The strategy elements, method and schedule for migrating data from the source to the target, accounting for auditability, security and privacy, data retention and archiving considerations are documented in the Data Migration Strategy document. Analyze Data Quality for Data Migration Addresses identifying data quality issues as discovered via data profiling. Performing this upfront profiling provides the awareness to data quality issues and data anomalies prior to testing the migration. Identifying data quality issues early or during the data migration process:  Identifies data that may cause data migration issues, providing a proactive rather than reactive approach  Allows for data correction during the data migration process, at the source prior to MIGRATION PROCESS ACTIVITY DESCRIPTION extraction or during data migration transformation. Data conversion process allows for the auditability and traceability of the changes made to the data for any data issues. During the assessment phase Vendor will determine if the current data and the related programs that changes this data is not correct then Vendor will document these situations and develop the remedial programs with the help of the County resources. Analyzing data quality during the data migration process includes:  Reviewing data profiling and data quality results that may have been previously generated  Performing full data profiling and data quality analysis or only performing additional data profiling and data quality analysis to address gaps found in initial profiling results that are needed to support the migration  Determining and documenting through the Data Quality and Profiling Reports for Data Migration – an artifact from the project – Source data corrections to be made, by whom and how the corrections will be made – Transformations necessary ...