Q: Do we need to replace our SIS, LMS, or CRM?
A: No. Data Rocket integrates with existing systems and centralizes the data for analysis and reporting.
Colleges and university systems generate admissions, enrollment, course, financial, advancement, and alumni data, often locked in systems without institutional context. Data Rocket® for Higher Education consolidates and governs these sources on a modern cloud foundation so teams can analyze trends, forecast outcomes, and act with confidence. In 90 days, institutions move from siloed data to standardized, analytics-ready models that support enrollment planning, student success, and fundraising growth.
With Data Rocket, your institution can immediately find the value in a modern data architecture built on Snowflake. This include:
“Passerelle helped us create the framework that we can use to move forward for all of our programs, and I'm hoping to continue that relationship as support for our programs in the years ahead.”Wendy Bucci, Chief Operations Officer of URIFAE
Forecast headcount using historical trends and admit/yield stages. Track where enrollment is increasing and where to invest recruiting resources.
Monitor first-year and second-year retention against goals. Blend course evaluations and engagement indicators to target interventions.
Analyze department enrollment, course fill rates, and financial contribution. Identify program growth opportunities and areas for improvement.
Measure fundraising by program and annual giving performance. Segment alumni engagement to increase participation and gift conversion.
Standardize definitions and automate reporting for leadership. Align unit-level KPIs with institutional strategic goals.
Quantify cost drivers and value contribution across the student lifecycle. Leverage cloud usage transparency for efficient scaling.
A: No. Data Rocket integrates with existing systems and centralizes the data for analysis and reporting.
A: KPI definitions are documented during implementation and enforced in the modeled datasets used by dashboards and reports.
A: Yes. The architecture is designed for future modeling and AI use cases once foundational data quality and governance are in place.
Stand up a governed, analytics-ready data environment in 90 days—with clear KPIs for enrollment, retention, advancement, and financial planning.