Data Quality
Day 1: Data Analysis
Functionality: Starting point to baseline the data workstream
Data Mapping
Justification: Reverse data mapping to justify and establish what data is expected in the target solution
Data Quality Metrics
Justification: Gap analysis of the source data, allowing enough time to improve data quality as part of BAU.
Data Cleanse
Functionality: Data restructure and removal of duplicate, aged data
Data Migration Rehearsal
Justification: No one gets it right first time! This allows practice for data cutover of the live / production system
Data Cutover planning
Justification: Data cutover walk thru with the team of the Business Readiness Stratgegy & cutover approach
Data Roles & Responsibilities / RACI
Functionality: Extract, transform, load and validation roles, responsibilties, and user permission testing ahead of the cutover milestone.