Web-Based SaaS Data Warehousing and Data Analytics Solution

Location:

South Carolina, United States

Posted on:

Deadline:

Summary:

RFP for a web-based SaaS solution providing data warehousing, analytics, dashboards, and predictive/statistical tools for South Carolina.

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South Carolina is seeking a vendor to provide a comprehensive web-based Software as a Service (SaaS) solution for data warehousing and data analytics. The successful provider will deliver implementation, training, and ongoing support for a centralized, secure, and scalable data warehouse. This platform must integrate data from various sources, including enrollment, learning management systems, advising, financial aid, continuing education, human resources, and finance systems.

The solution should feature automated, reliable data refresh capabilities, supporting nightly updates as the baseline with options for more frequent refreshes during peak times. Key analytics content will focus on continuous improvement areas such as enrollment, retention, completions, pathways, degree audits, predictive student success indicators, and compliance reporting. User-friendly dashboards should be available for a wide array of users—from executives to faculty and staff—with robust filtering to allow disaggregation by student demographics, program, financial aid, GPA, course modality, and more.

Additionally, the platform should extend beyond academic reporting, incorporating business process analytics for functions such as finance, human resources, continuing education, and financial aid. It must be modular and scalable, allowing easy integration of new data sources and expansion for future use cases. Integrated predictive analytics and embedded statistical analysis tools are also required to support early interventions, accreditation activities, and institutional research. All vendor questions regarding this opportunity are to be submitted by February 27, 2026.

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Submit your next proposal, within 48 hours or less

Stay ahead with the latest advancement in proposal automation.