Stalis Whitepaper: DM as a Public-Sector Delivery Risk

Strategically, the move to Oracle Fusion Cloud is often positioned as a foundation for wider transformation: shared services, improved financial control, better analytics, and integration with other national platforms. Done well, it reduces long-term cost, technical debt, and security risk. Done poorly, it becomes a high-profile source of delay and disruption. That is why the EBS-to- Fusion migration is widely regarded as one of the most significant and high-risk transitions in modern public-sector transformation programmes. Therefore, it is unsurprising that the migration from Oracle E-Business Suite to Oracle Fusion Cloud has become one of the most common transformation routes across UK public-sector programmes, driven by the need to modernise legacy estates and reduce long-term operational risk. While the target platform offers clear benefits including standardisation, improved controls, and cloud scalability, the transition itself introduces a distinct and often underestimated risk profile. At the core is structural change. Oracle Fusion is not a like-for-like upgrade of EBS; it introduces fundamentally different data models, configuration logic, and process assumptions. Chart of accounts structures, supplier (and occasionally customer) models, asset data, HR records, payroll data, and historical transactions often require transformation rather than direct migration. This complexity is amplified by the sheer volume of historical transactional data retained by public- sector organisations, much of which is subject to statutory retention, audit, and FOI obligations and cannot simply be archived or excluded. Data quality is a further pressure point. Many public-sector EBS environments have evolved over decades, with multiple customisations and inconsistent local practices. Data that was “good enough” for legacy operations may not meet Fusion’s stricter validation and control requirements. These issues frequently surface late, because functional sign-off in Fusion is heavily dependent on migrated data behaving correctly within end-to-end business processes, not just passing technical load checks. Added to the complexity there are often data issues reflected in non- reconciling accounts and missing data in related tables.

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