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Profiling · Deduplication · Validation · Enrichment · Universities · Public Sector · Reconciliation

Data Cleansing for
Oracle Fusion

Decades of legacy data made accurate, governed and audit-ready before it lands in Oracle Fusion

eAppSys provides data cleansing for Oracle Fusion. Universities, councils, NHS bodies, banks and enterprises are carrying records that were never designed for Oracle Fusion: duplicated, inconsistent, incomplete. eAppSys cleanses, validates and enriches that data with DMOne™ so what goes live is trusted from day one, and so AI built on it later has something reliable to read.

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Home › Data & AI › Data Cleansing & Enrichment

Data Cleansing

Data Cleansing for Oracle Fusion — Service Areas

eAppSys delivers data cleansing and enrichment across six service areas, with dedicated practice for higher education and the wider UK public sector.

Oracle data cleansing and enrichment process

Legacy Data Profiling

Understand what is actually in the source systems before anyone decides what to migrate.

  • Column-level profiling across all in-scope legacy sources
  • Duplicate rates, null rates and format inconsistencies by domain
  • Orphaned, dormant and out-of-policy records identified
  • Scope decision: migrate, archive with ArchiveIQ™, or dispose
  • Fixed-price cleansing proposal based on the profile

Deduplication & Matching

One record per person, supplier, customer or item, with the merge decisions evidenced.

  • Deterministic and probabilistic matching tuned per domain
  • Survivorship rules agreed with data owners
  • Exception queues for records needing human review
  • Cross-system matching where one entity lives in several sources
  • Full audit trail of every merge and its justification

Validation & Standardisation

Fields conform to Fusion configuration and to external standards before load.

  • Address, postcode, bank account and VAT number validation
  • Reference data aligned to Fusion lookups and value sets
  • Dates, names and codes standardised to agreed formats
  • Mandatory-field completeness enforced per object
  • Pre-load validation against the target Fusion instance

Data Enrichment

Missing or stale attributes completed from authoritative sources.

  • Supplier records enriched with registered company details
  • Employee and organisation hierarchies completed and verified
  • Cost centre, location and department attributes filled
  • Historic balances and open items reconstructed where needed
  • Enrichment sources logged for audit and UK GDPR purposes

Universities & Higher Education

Student, staff, research and alumni data prepared for Oracle Fusion HCM and ERP in the higher education context.

  • Staff and casual worker records deduplicated across HR and payroll
  • Research grant, project and funder data aligned to PPM
  • Supplier and student-debtor records cleansed for Financials
  • Statutory returns data validated against sector coding
  • Working alongside Registry, Finance, HR and Research offices

Universities & Higher Education

Councils, NHS & Financial Services

Regulated organisations with long record histories and statutory obligations.

  • Local Government Reorganisation: merging council datasets into one Fusion instance
  • NHS workforce and supplier data reconciled ahead of Fusion
  • Banking and financial services customer and counterparty data
  • Retention, minimisation and disposal applied under UK GDPR
  • Evidence pack for internal audit and regulators

Councils, NHS & Financial Services

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Strategy

Accreditation & Recognition

ISO 9001:2015
BS EN ISO/IEC 27001:2022
Cyber Essentials Plus
ICO Certified
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Delivery Approach

Delivery Approach

eAppSys delivers data cleansing engagements in a structured phased approach — clear outputs and decision gates at every stage.
01

Profile

Source system profiling, duplicate and quality scoring, scope decisions, fixed-price proposal

02

Cleanse

Deduplication, validation and standardisation in DMOne™ with owner sign-off per domain

03

Enrich

Missing attributes completed from agreed sources; hierarchies and reference data aligned

04

Reconcile

Counts and balances reconciled to source; audit pack produced; handover to migration or operations

Why eAppSys

Your Data Cleansing Partner

Cleansing Before Migration, Not During

Data problems found in a migration load window become go-live risks. eAppSys cleanses as a separate, earlier workstream so the migration loads trusted data.

Sector Experience

Higher education, local government, NHS and financial services each have their own record types, statutory returns and audit expectations. eAppSys has worked in all four.

Evidence at Every Step

Every merge, correction and enrichment is logged in DMOne™. When audit asks why two records became one, the answer is on file.

Works Alongside Your SI

Where a prime systems integrator is leading the Fusion programme, eAppSys takes the data cleansing workstream under an agreed RACI.
Common Questions

Frequently Asked Questions

Is this the same as data migration?
No. Data migration moves data from legacy systems into Fusion. Cleansing fixes the data before it is moved. eAppSys delivers both, but cleansing is scoped and priced separately so it can start earlier and be owned by the business, not the migration team.
Yes. Higher education data has its own shape: casual and hourly-paid staff, research grants and funders, student debtors, statutory returns. eAppSys has a dedicated higher education practice within the cleansing service, working with Registry, Finance, HR and Research offices.
Yes. Merging several councils into one Fusion instance is a large-scale deduplication and reconciliation exercise across suppliers, employees, assets and chart of accounts. eAppSys runs it as a governed programme with DMOne™.
Work is carried out under ISO 27001 controls, with MaskIQ™ available for non-production environments. Retention and minimisation rules are applied so data that should not migrate is archived or disposed of with evidence.
Cleansed, validated data ready for load; a reconciliation report of counts and balances against source; and an audit pack recording every change made and why.
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