Understand and manage data dependencies across all functions
- Identify and classify all data provisioning and receipt including whether internal or external, inbound or outbound and the related function
- Determine relative priority (e.g. Treasury, Risk, Operations and Critical, High, Medium and Low)
- Prioritize based on disruption impact
Develop a risk-based approach for the program
- Establish a design authority to document and communicate data changes (e.g. hierarchy and taxonomy code value changes) arising from the migration
- Provide specific guidance to developers
- Establish control checkpoints for Critical and High priority data provision and receipt to improve initial delivery quality
Deploy the right expertise
- Data provisioning and receipt reflect both technical and business (data) aspects
- Relevant technical expertise is required to ensure the file format, structure and transfer are correct
- Analytic and data expertise to ensure the data code values (e.g. hierarchies and taxonomies) and values are correct
Update and refine the operating model
- Establish / refine the operating model to include SLAs
- Add / refine data responsibilities including data mastering, data quality and data feed reconciliation
- Update roles and responsibilities to reflect refined processes
