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Universities · Higher Education · Oracle Fusion ERP · HCM · PPM · DMOne™ · Legacy Data · Data Sign-Off

Oracle Fusion Data Cleansing
for Universities

University legacy data is among the most complex to migrate to Oracle Fusion Cloud. Academic contract types, fractional appointments, REF-linked grade structures, TRAC cost categories, multi-funder research projects, and HESA reporting codes sit alongside standard ERP and HR data — each requiring specialist cleansing rules before load. eAppSys DMOne™ cloud platform profiles, cleanses, and reconciles data from all major university legacy systems — Agresso, Unit4, iTrent, ResourceLink, PeopleSoft, SAP, Oracle EBS, and bespoke systems — across ERP, HCM, and PPM. Data sign-off before go-live. Every time.

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Home › Services › Data Cleansing for Universities

Why University Data Is Different

Three data challenges unique to university Oracle Fusion implementations

University data does not map cleanly to standard Oracle Fusion data models. These three challenges require specialist cleansing rules — not generic migration tooling.

University Oracle Fusion Cloud implementations — whether replacing Agresso, Unit4, iTrent, PeopleSoft, or Oracle EBS — depend on the quality of the data that migrates on go-live day. Poor data quality in Oracle Fusion ERP, HCM, or PPM is not recoverable quickly once users are live. eAppSys DMOne™ cloud platform delivers Oracle Fusion data cleansing for universities as a structured, reconciliation-backed programme — covering chart of accounts mapping, employee record validation, research project and grant data, and all supporting reference data. Available as a standalone data workstream or alongside your primary Oracle Fusion implementation partner.

Academic HR data — contract complexity

University HR data contains contract types, grading structures, and appointment patterns not found in commercial organisations. Fractional appointments, zero-hours academic contracts, honorary appointments, visiting fellows, and REF-linked professorial grades all require specialist mapping to Oracle Fusion HCM data models before any cleansing begins.

Research finance — multi-funder complexity

University research projects involve multi-funder structures, overhead recovery rates, UKRI terms and conditions, Horizon Europe compliance, and sponsor billing rules that do not exist in standard ERP chart of accounts or project costing models. DMOne™ maps research project data to Oracle Fusion PPM funding source, overhead recovery, and expenditure type structures — with Research Office sign-off before load.

Finance chart of accounts — HESA and TRAC

University chart of accounts contains HESA cost centres, TRAC activity codes, fund codes for restricted and unrestricted funds, and research project codes alongside standard cost centres and natural accounts. Each must be mapped to Oracle Fusion chart of accounts segments — with inactive codes retired, duplicates merged, and HESA/TRAC reporting integrity preserved in the Fusion structure.
Data Cleansing by Module

Oracle Fusion ERP, HCM & PPM — data cleansing by module

DMOne™ applies module-specific cleansing rules across every data object. Each object is profiled, cleansed, transformed to Oracle-required format, loaded, and reconciled — with sign-off before go-live is authorised.

ERP — Finance & Procurement

Chart of accounts, supplier master, open balances, fixed assets, purchase orders.
  • Chart of Accounts: Cost centres, natural accounts, fund codes, TRAC codes, and HESA cost centres mapped to Oracle Fusion chart of accounts segments. Inactive codes retired and duplicates merged.
  • Supplier Master: Supplier names standardised, duplicates identified, bank accounts verified, VAT registrations validated, and payment terms aligned.
  • Fixed Assets: Asset registers cleansed by resolving missing depreciation rates, incorrect asset categories, unverified NBVs, and fully depreciated assets that remained active before the Fusion asset load.
  • Open Balances: AP open invoices, AR open items, and open purchase orders extracted, aged, and validated. Disputed items resolved before migration.
  • Bank Accounts: Bank account master data validated, including IBANs, sort codes, and account numbers. University banking relationships mapped to Oracle Fusion bank structures.

HCM — Human Resources & Payroll

Employee records, assignments, payroll elements, absence balances, organisational structure.
  • Employee Records: Legal name, NI number, date of birth, and contract type verified against the HR system of record. Duplicate employees identified, leavers confirmed, and rehires resolved.
  • Assignments & Grades: Grade, spinal point, fractional appointment percentage, and academic contract type mapped to Oracle Fusion grade and grade step structures. REF-linked grades preserved.
  • Payroll Elements: Pay elements, deductions, and allowances cleansed against current payroll rules. Elements no longer in use retired, and pension scheme assignments verified.
  • Absence Balances: Annual leave, sick leave, TOIL, and maternity/paternity balances reconciled against the HR system before migration. Rolling-year versus leave-year balances resolved.
  • Org Structure: Faculty, school, department, and cost centre hierarchies validated for completeness, position vacancy management, and reporting line integrity.

PPM — Research & Project Management

Research project master data, grant awards, funding sources, open commitments, expenditure history.
  • Project Master Data: Project codes, project types, project status, start and end dates verified against Research Office records. Closed projects confirmed and excluded or archived.
  • Grant Awards: Funder, award reference, award value, overhead recovery rate, project period, and allowable cost rules validated against Worktribe or equivalent research management systems.
  • Funding Sources: Multi-funder project structures mapped to the Oracle Fusion funding source model. UKRI, Innovate UK, Horizon Europe, charity, and industrial sponsor funding separated.
  • Open Commitments: Purchase orders and staff commitments on active research projects validated and reconciled with Research Finance before migration. Expired commitments excluded.
  • Expenditure History: Historical project expenditure mapped to Oracle Fusion expenditure types, with TRAC categories preserved. Overhead recovery transactions handled according to the Oracle Fusion Project Costing model.

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How We Deliver It

Five-stage data cleansing delivery

Every eAppSys university data cleansing engagement follows the same five-stage delivery — from initial profiling through to reconciliation sign-off and go-live authorisation.

01

Data Profiling

DMOne™ connects to legacy systems, profiles in-scope data, and identifies duplicates, missing fields, invalid references, broken relationships, and data anomalies.

02

Cleansing & Transformation

DMOne™ applies university-specific cleansing and mapping rules, then transforms data into Oracle-ready FBDI and HDL formats. All rules are documented and version-controlled.

03

Test Migration

Data is loaded into Oracle Fusion SIT using FBDI/HDL, with errors root-caused and resolved through multiple test cycles. MaskIQ™ protects PII in non-production environments.

04

Reconciliation & Sign-Off

Source-to-target reconciliation validates records, financials, and attributes, with Finance, HR, and Research Office sign-offs. Go-live is approved only after all three reconciliations are complete.

05

Cutover Migration

Final DMOne™ migration loads cleansed, validated, and approved data into Oracle Fusion Production. Cutover reconciliation confirms production matches signed-off UAT, ensuring go-live with verified data.

Why eAppSys

Why universities choose eAppSys for Oracle Fusion data cleansing

University data expertise — not generic migration tooling

Academic contract types, TRAC cost categories, multi-funder research projects, and HESA reporting codes are not standard Oracle Fusion data — and generic migration tooling does not know what to do with them. eAppSys has built university-specific cleansing rules into DMOne™ for every data object across ERP, HCM, and PPM.

All major legacy systems — no manual extract required

DMOne™ connects directly to Agresso, Unit4, iTrent, ResourceLink, PeopleSoft, SAP, Oracle EBS, Worktribe, and bespoke systems. The university does not need to produce manual data extracts or CSV files. DMOne™ profiles the source system directly and manages the full extraction lifecycle.

Three-way sign-off — Finance, HR, and Research

University Oracle Fusion implementations require sign-off from three different teams — Finance for ERP and PPM financial data, HR for employee and payroll data, and Research Office for grant and project data. eAppSys produces a dedicated reconciliation report for each team and does not authorise go-live until all three are signed.

Works alongside your primary SI

eAppSys frequently delivers the data cleansing and migration workstream as a specialist alongside the primary Oracle Fusion implementation partner. Clear RACI, defined interfaces, and weekly programme board reporting — the primary SI focuses on configuration and testing while eAppSys owns data end to end.
Common Questions

Frequently asked questions — Oracle Fusion data cleansing for universities

What data does eAppSys cleanse for an Oracle Fusion HCM implementation at a university?
For Oracle Fusion HCM, eAppSys cleanses employee records (grade, position, assignment, contract type), absence entitlements and balances, payroll elements and historical pay, job family and grade structures, organisational hierarchy, and worker relationships. University-specific data such as academic contract types, fractional appointments, and REF-linked grade structures require specialist cleansing rules — all handled by DMOne™.
For Oracle Fusion ERP, eAppSys cleanses chart of accounts (cost centres, natural accounts, project codes, fund codes), supplier master data, open purchase orders, fixed assets, open AP and AR balances, and bank accounts. University chart of accounts structures — TRAC, HESA cost centres, research fund codes — require specialist mapping to Oracle Fusion chart of accounts segments, handled by DMOne™ Semantic Foundation™.
For Oracle Fusion PPM, eAppSys cleanses research project master data, grant awards and funding sources, project task structures, open commitments, expenditure history, and sponsor billing data. University research projects involve complex multi-funder structures, overhead recovery rules, and UKRI/Horizon compliance requirements — all mapped and validated by DMOne™ before load into Oracle Fusion Project Management.
DMOne™ produces a source-to-target reconciliation report for every data object — record counts, value totals, and attribute-level comparisons between the legacy source and the Oracle Fusion target. Finance, HR, and Research Office sign off the reconciliation report before go-live is authorised. The university does not go live on unverified data.
Yes. eAppSys frequently delivers data cleansing and migration as a specialist workstream alongside the primary Oracle Fusion implementation partner. eAppSys takes ownership of the data migration workstream — extraction, profiling, cleansing, transformation, load, and reconciliation — while the primary SI focuses on configuration and testing. Clear RACI, defined interfaces, and weekly reporting to the programme board.
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