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Home Industries Higher Education & Research

SIS Migration, Data Quality, and Compliance —
Validated Before Students Feel It

Universities replacing Banner and PeopleSoft with Workday Student and Ellucian validate the quality
of enrollment, financial-aid, and transcript data before cutover — keeping FERPA, Title IV, and IPEDS
compliance intact through the transition. A registration-day data error doesn’t stay an IT problem for
long.
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The Challenges

Five Business Risks Every Higher Education & Research Team Faces

What weak data validation actually costs — in enforcement, capital, and trust

Clinical Trial Data Migration Risk for Life Sciences

SIS Data Platform Migration Risk

What's the cost of a SIS migration where student records don't reconcile after go-live?

Banner, PeopleSoft, or Workday Student migrations put enrollment, financial aid, and compliance data at risk simultaneously. Every unvalidated record is a potential Title IV reporting error that surfaces on the first day of classes.

83%

Of data migration projects across the industry fail or overrun budget and timeline.

21 CFR Part 11 & GAMP 5 Validation Evidence For Life Sciences

Student & Admissions Data Quality

What's the cost of an enrollment dashboard built on data nobody's validated?

Enrollment dashboards and admissions analytics are only as trustworthy as the data quality behind them — when it's not continuously validated, errors reach leadership before anyone catches them. NYU replaced manual review with daily quality checks and cut report-verification time from three weeks to near-instant.

$580K

In cost savings achieved by a leading university through automated validation of SIS and CRM data

Pharmacovigilance & Adverse Event Data Quality for Life Sciences

IPEDS, Title IV & Federal Reporting Compliance

What's the cost of an IPEDS submission the Department of Education can't validate?

IPEDS submissions require reconciled enrollment, finance, and graduation data — and federal auditors cross-validate against institutional records. Inaccurate filings risk Title IV funding eligibility and corrective action plans.

Title IV

Funding at risk — federal auditors cross-validate IPEDS against institutional records

Real-World Data Quality for RWE Studies For Life Sciences

Financial Aid Reconciliation & Grant Reporting

What's the cost of a disbursement error — or a grant report that doesn't reconcile?

FAFSA aid calculations, Bursar-to-GL reconciliation, and federal grant reporting each demand auditable accuracy. Disbursement errors trigger repayment collection, and grant discrepancies create clawback risk.

NIST IAL2

Identity verification now mandated for first-time FAFSA applicants — fraud prevention is a data quality problem

Patient & Subject Data in Non-Production Environments For Life Sciences

FERPA-Protected Student Data in Non-Production Environments

What's the cost of FERPA-protected records appearing in a test environment?

FERPA mandates strict access controls on student educational records — yet test and development environments routinely contain unmasked student PII. Every unprotected copy is a compliance exposure audit teams increasingly flag.

FERPA

Violations can result in loss of federal funding eligibility — the highest-stakes compliance exposure in higher education

The Platform

How Datagaps Solves It

Each product maps directly to a Higher Ed & Research data problem

ETL Validator for Industry icon

ETL Validator

Solves: SIS/data-platform migration risk & multi-source ETL and dbt pipeline validation

Record-level, non-sampled validation of enrollment, financial-aid, and transcript data during Banner/PeopleSoft-to-Workday Student or Ellucian cutover — plus native dbt-pipeline validation across CRM, SharePoint, SFTP, and API sources most RDBMS-only tools can't reach.

SIS/ERP Migration
dbt Pipeline Validation
20+ Source Types
BI Validator for Industry Icon

BI Validator

Solves: Manual, ad hoc BI and analytics report validation

Visual regression and pixel-to-pixel comparison across student census, admissions, and institutional reporting dashboards.

Power BI and Tableau
Regression Testing
Data Quality Monitor for Industry Icon

Data Quality Monitor

Solves: Data Quality Blind Spots Beyond Relational Databases

Zero-code, AI-generated data-quality rules across every source in the pipeline — not just the relational databases a legacy internal tool was built for — so Salesforce, SharePoint, and API-sourced data get the same scrutiny as the data warehouse.

Zero-Code DQ Rules
Multi-Source Coverage
AI-Assisted Rule Creation
Test Data Manager for Industry icon

Test Data Manager

Solves: Safe test data for SIS/LMS testing without exposing FERPA-protected records

Generate realistic, referentially-intact synthetic student data for SIS and LMS testing — deterministic, reversible masking that keeps real enrollment and financial-aid records out of lower environments entirely.

FERPA-Safe Synthetic Data
Referential Integrity
Deterministic Masking
DataOps Suite for Industry Icon

DataOps Suite

Solves: One audit trail across SIS migration, financial-aid reconciliation, and federal grants reporting

AI proposes reconciliation rules and quality checks from mapping docs and SQL — your team approves before anything runs. One lineage graph and audit trail spanning SIS cutover, Title IV financial-aid reconciliation, and federal grants drawdowns, including dbt impact analysis through Mapping Manager.

Cutover Assurance
Full Lineage 
Human-in-the-Loop AI

Proven Outcomes

Impact Across Higher Education & Research Teams

80-90%

Reduction in manual testing effort

NYU achieved this across 1000+ data flows over their 6-year Datagaps journey.

$580K

Cost savings

Automating SIS and CRM data validation at a leading research university

95%

Data quality score

Achieved through automated Collibra-integrated SIS validation

1000+

Automated data flows daily

Validating academic, financial, research, and HR data across Oracle, SQL Server, Snowflake, and PostgreSQL

Use Cases

Higher Education & Research Use Cases by Product

SIS Platform Migration (Banner / PeopleSoft → Workday Student)

100% source-to-target reconciliation for SIS migrations. AI-generated test cases validate enrollment, financial aid, and student records across legacy and target systems — before the first day of classes

Cloud Data Warehouse Modernization (Oracle → Snowflake)

Automated validation across academic, financial, research, and HR data during cloud migration. Proven at NYU with 1000+ data flows across Oracle, SQL Server, and Snowflake.

Student Census & Enrollment Dashboard Regression

Visual regression and pixel-to-pixel comparison across enrollment dashboards, admissions reports, and student census publications. Catches errors before they reach board presentations or IPEDS submissions.

Institutional Research & Reporting Integrity

Cross-release validation ensures calculated fields, filters, and parameters produce consistent results across reporting cycles — reducing last-minute firefighting before publication deadlines.

SIS Data Quality & IPEDS Compliance Monitoring

Continuous validation of enrollment, financial, and graduation data against IPEDS requirements. Automated Collibra integration surfaces DQ scores and failed records for governance teams — 95% data quality achieved.

Financial Aid & Bursar Reconciliation Monitoring

Automated reconciliation of aid disbursements against federal fund receipts and Bursar-to-GL balancing. Catches discrepancies before they become audit findings.

FERPA-Safe Synthetic Student Data

Deterministic, reversible masking generates realistic synthetic student records for SIS testing, analytics development, and AI model training — without exposing real FERPA-protected PII.

Research Data De-Identification

Privacy-safe synthetic datasets for institutional research, student success modeling, and retention analytics — without copying student records into development environments.

Unified Compliance Platform for Higher Education

Single audit trail covering FERPA, IPEDS, Title IV, and GDPR (international students). One lineage graph from SIS source to federal submission.

AI-Generated Test Cases for SIS Pipelines

Auto-generate validation test cases & rules from SIS data sources, schemas, transformation specs, and dbt models. Self-healing tests survive schema changes across SIS upgrades and term rollovers.

Proof Points

Customer Evidence in Higher Education and Research

Leading Higher Education Institution

Enhancing SIS Data Quality with Automated Collibra Validation

Integrated Datagaps DataOps Suite with Collibra via REST APIs to execute DQ rules on PeopleSoft SIS datasets. 60% faster deployment, 70% faster validation for new datasets, and overall data quality increased to 95%

Read Case Study
Leading Global Research University

100% Data Accuracy Across University SIS and CRM Systems

Automated validation during Snowflake migration across SIS (PeopleSoft) and CRM (Slate) systems. 1500 automated test cases, 66% reduction in validation resources, $580K in cost savings, and 100% migration coverage.

Read Case Study
Global Research & Advisory Firm

Automated Regression Testing Across 1,000+ Tables

Daily source-to-target comparison and regression testing across 1,000+ tables. 50% reduction in manual validation effort, automated Power BI report validation, and API testing for MDM teams — with JSON and Parquet file support.

Read Case Study
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FAQs: Higher Education & Research

Common questions from Enterprise Buyers

How does Datagaps validate a Banner or PeopleSoft to Workday Student migration?

Yes — ETL Validator runs record-level, non-sampled reconciliation of enrollment, financial-aid, and transcript data through Banner/PeopleSoft-to-Workday Student or Ellucian cutover, with AI-generated test cases validating every record before the first day of classes. See the full approach in our Data Migration Testing guide.

Can Datagaps validate Looker and Cognos reports, not just Power BI or Tableau?

Yes — BI Validator‘s platform coverage runs across Power BI, Tableau, Oracle Analytics, Cognos, and more, applying the same cell-level source comparison and pixel-to-pixel regression to every institutional reporting and admissions dashboard, regardless of BI tool. Full platform list in our BI Testing guide.

Does Datagaps generate FERPA-safe synthetic student data for testing?

Yes. Test Data Manager generates realistic, referentially-intact synthetic student records for SIS and LMS testing using deterministic, reversible masking — so enrollment and financial-aid data never touches lower environments in a form that exposes real FERPA-protected PII.

Can Datagaps validate financial-aid disbursements against Title IV requirements?

Yes — Data Quality Monitor automates reconciliation of aid disbursements against federal fund receipts and Bursar-to-GL balancing, catching discrepancies before they become audit findings. DataOps Suite extends this into one audit trail spanning FERPA, IPEDS, Title IV, and GDPR.

Does Datagaps reconcile federal research grant drawdowns?

Yes — DataOps Suite maintains one audit-ready lineage graph spanning SIS migration, financial-aid reconciliation, and federal grants reporting, with AI proposing reconciliation rules from mapping docs and SQL that your team approves before anything runs. See Compliance Solutions for the full control set.

Does Datagaps have experience with higher-education institutions specifically?

Yes — from an 80-90% reduction in manual testing effort across 1,000+ data flows to $580K in cost savings automating SIS and CRM validation at a leading research university, with 95% data quality achieved through Collibra-integrated SIS validation. See more on our Case Studies page.

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