Turn Your Institution's Data Into Decisions That Change Student Outcomes
Education institutions generate millions of data points every day — enrollment records, LMS engagement, assessment scores, attendance, financial aid disbursements, advising touchpoints, library usage, and research outputs — most of it sitting in siloed systems that don’t talk to each other, reported on weeks or semesters after the moment when intervention could have made the difference. PureData Cloud builds unified, FERPA-compliant data platforms on AWS that give presidents, provosts, deans, principals, and counselors the real-time insight they need to move the metrics that matter: retention, completion, equity, and outcomes.
The Education Data Problem Siloed Systems, Delayed Decisions
The average higher education institution has student data fragmented across 8–14 separate systems. The average K-12 district has 6–12. A Student Information System, one or more LMS platforms, a state and federal assessment portal, an MTSS or advising tool, special education case management, HR and payroll, finance, library systems, and research information management none sharing data natively. The result: counselors manually assembling spreadsheets to identify struggling students, IR offices building IPEDS and state reports from scratch each cycle, and institutional leaders making strategic decisions without a current, complete picture of student success across the institution.
- Who We Serve
Sectors We Serve With Data Engineering
SIS+LMS data lakes, ESSA & Title I reporting, achievement gap analytics
IPEDS automation, retention analytics, research data management, accreditation IR
Completion metrics, FAFSA funnel analytics, dual enrollment reporting
Digital resource usage analytics, collection ROI, patron engagement data
Completion and placement rate reporting, employer outcome tracking
Product analytics, learning outcome data, FERPA-compliant tenant data isolation
- Core Services
What We Deliver to Institutions
Modern education data infrastructure built on AWS, connecting every institutional data source into a governed, FERPA-compliant analytics platform that powers evidence-based decision-making at every level of your organization, from the classroom to the board room.
How a Multi-Campus University System Unified Student Data & Automated IPEDS Reporting
Education Sector: Public University System (3 universities, 42,000 students)
Scenario: A 3-university public system with 42,000 combined students, each campus running separate Banner ERP instances, separate Canvas LMS environments, and separate IR teams producing IPEDS and state reports independently with no shared data infrastructure.
Challenge: Three separate IR teams producing IPEDS reports manually each cycle — combined 18 weeks of IR staff time per reporting year. No system-level student success analytics — the Chancellor’s office received dashboards 4–6 weeks after semester end. No ability to identify at-risk students at a system level or benchmark completion rates across campuses. First-generation and Pell-eligible student completion disparities discovered only through retrospective reporting, not in time for proactive intervention.
Solution: PureData Cloud built a system-level education data lake on AWS S3 connecting all three Banner instances, three Canvas environments, state assessment APIs, and financial aid data via automated Glue pipelines. A system-wide Amazon QuickSight analytics layer was deployed with role-based access for instructors, advisors, deans, IR directors, and system leadership. Automated IPEDS, Title III, and state reporting pipelines replaced manual IR processes across all three campuses.
Outcome: IPEDS reporting time reduced from 18 combined IR staff weeks to 3 days of review and submission across all three campuses. System-wide early warning model flagging at-risk students 7 weeks earlier than prior semester reporting. Chancellor’s office now receives real-time enrollment, retention, and completion dashboards — not end-of-semester reports. System-level Pell completion gap identified and targeted intervention program launched. Estimated $340,000 annual IR staff time savings across the system.
- AWS S3 system-level education data lake — 3 Banner ERP instances, 3 Canvas environments connected
- Automated IPEDS, Title III, and 4 state reporting pipelines — from 18 weeks to 3 days
- Amazon QuickSight dashboards for 5 user tiers: instructor, advisor, dean, IR director, Chancellor
- Early warning ML model on SageMaker — 7-week earlier at-risk identification vs. prior system
- AWS Lake Formation FERPA controls — row-level security by enrollment, department, and campus
- Research impact dashboard: grant tracking, publication metrics, sponsored program financials
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Frequently Asked Questions
A foundational education data lake with 4–6 source system connections and a multi-tier dashboard layer is typically delivered in 12–16 weeks. Reporting automation (IPEDS, state reporting) is typically delivered in weeks 8–12 of the same project. Complex multi-campus or multi-institution deployments with research data management components run 20–28 weeks. We deliver working dashboards on a rolling basis — institutional leaders see real data in their QuickSight environment by week 6, not week 16.
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