Workday SIS strategy and planning focuses on defining institutional priorities, scope, and success criteria while establishing a clear roadmap. This includes sequencing work across integrations, reporting, and data governance to ensure a cohesive and achievable implementation plan.

Workday SIS implementation support includes facilitating requirements and design workshops, providing configuration guidance, and ensuring functional alignment across stakeholders. It also covers testing readiness for SIT and UAT, cutover planning, and post–go-live stabilization support.

Ecosystem integrations ensure seamless data flow between Workday SIS and connected systems such as CRM platforms (e.g., Salesforce, Slate, Element451), learning management systems (Canvas, Blackboard, D2L), data warehouses or lakehouses, identity and access management solutions, and analytics or BI tools.

Data migration and conversion addresses conversion strategy and execution with an emphasis on repeatable mapping, transformation, and validation processes. It also includes decision-making around historical data retention and archival planning.

Reporting readiness and analytics alignment establish consistent definitions, data models, and lineage to support institutional reporting. This ensures Workday SIS data reliably feeds dashboards, institutional research, and analytics platforms.

Data governance and operational maturity define standards for data quality, ownership, stewardship, and lifecycle management. Governance practices are embedded into day-to-day operations to support long-term sustainability and accountability.