(1) Vendor needs to provide web–based SaaS data warehousing and data analytics solution. • Implementation, training, and ongoing support of a software as a service (SaaS), data warehousing and data analytics services. • A centralized, secure, and scalable data warehouse that integrates data from multiple sources, including enrollment, LMS, advising, financial aid, continuing education, human resources, and finance. • Automated and reliable refresh capabilities, with nightly updates as the baseline and the option for more frequent refreshes during peak periods. • Analytics content for continuous improvement covering areas such as enrollment, retention, completions, pathways and degree audits, predictive student success indicators, and compliance reporting. • Organized, visually consistent, and user–friendly dashboards designed for a broad range of end–users, from executives to faculty and staff. • Dashboard filters to disaggregate by a wide range of student groups, such as demographic information, program, enrollment, financial aid, GPA, course methods and more. • A platform capable of expanding beyond academic reporting to include business process analytics for finance, HR, continuing education, and financial aid. • Modular scalability to integrate additional data sources and use cases over time, without requiring a complete system rebuild. • Predictive Analytics: Integrated predictive models for retention, success, and enrollment, enabling early alerts and risk modeling for proactive interventions and improving outcomes. • Statistical Analysis: Embedded capabilities (e.g., chi–square tests, p–values) to support accreditation and institutional research without requiring advanced statistical programming. (2) All the questions must be submitted no later than Feb 27, 2026.