Data Readiness

Data readiness is an essential implementation requirement.

1. Data cleansing - improving the quality of our data.

  • Migrating and converting the required data from FlexSIS to Sydney Student.
  • Two main types of data:
    - Master data: main areas for attention are Collections and Scholarship.
    - Transactional data: additional data cleansing items from testing.

2. Data migration – the 'must-have records' for implementation.

  • The target is to migrate as many student records as possible before implementation.