REBID On-Call Data Modernization and Analytics Consulting Services

Background and Organizational Context

SPU is a public utility operating within a complex regulatory, equity, and ratepayer funded environment. All work—whether technical or strategic—must be transparent, auditable, and aligned with SPU’s commitments to public accountability, environmental stewardship, and equitable service delivery. SPU’s organizational culture values collaboration, clear communication, and practical, sustainable solutions that can be adopted and maintained by staff.

SPU’s data and technology landscape is federated and multi system, with no single system serving as a universal source of truth and data ownership distributed across business units. This environment requires coordinated governance, consistent data practices, and solutions that work across organizational boundaries. Proposers must demonstrate experience working within federated data environments and should avoid approaches that assume centralized control, uniform data quality, or a clean slate architecture.

SPU is actively modernizing its data, analytics, and platform capabilities, but this work is occurring alongside ongoing operations—not in a greenfield environment. Modernization efforts must integrate with existing systems, processes, and constraints. Staff capacity varies across teams, and successful delivery requires approaches that are incremental, maintainable, and grounded in SPU’s operational realities.

SPU’s work is highly collaborative. Projects typically involve multiple business units, IT partners, and operational stakeholders. Effective engagement, plain language communication, and thoughtful change management practices are essential to adoption and long term success. Proposers should demonstrate how their approaches account for user enablement, stakeholder coordination, and the practical realities of staff who will own and maintain solutions after consulting engagements conclude.

This current state shapes SPU’s expectations for strategy, governance, platform, architecture, analytics, and user enablement work. Proposers should demonstrate an understanding of this environment and tailor their approaches accordingly. Proposals that do not reflect a clear understanding of this environment will not be considered competitive.