Strategy · Data & AI Advisory
The data your AI ambitions depend on doesn’t live in a lake — it lives inside your ERP, HCM, SCM and finance systems. eAppSys has spent over fifteen years inside that data: migrating it, reconciling it and governing it. Our advisory turns that depth into a data & AI strategy your organisation can actually deliver.
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Why Data & AI Advisory
Every meaningful AI use case in a large organisation — workforce planning, financial forecasting, supply chain optimisation, intelligent automation — ultimately runs on data held in enterprise systems: employee records, cost centres, suppliers, items, ledgers, hierarchies. Yet most data and AI strategies are written by people who have never worked inside that data.
eAppSys is different. We are enterprise systems data experts: our consultants have spent careers migrating, reconciling and governing the data inside Oracle Fusion, E-Business Suite and the wider application estate. We know how that data is structured, where it breaks, and what it takes to make it AI-ready — and we build your strategy from that ground truth up.
Person records, position hierarchies, chart of accounts, supplier and item masters — we understand how enterprise data is actually structured, not just how it appears on a dashboard.
Using DMOne™ profiling, we assess the real condition of your enterprise systems data during the advisory phase — so the strategy is built on facts, not assumptions.
Deep Oracle Fusion and Oracle Cloud expertise where it helps, honest advice where another route serves you better.
Every roadmap comes with a mobilisation plan your teams — or ours — can start executing immediately.
Engagements draw on the disciplines you need — from a focused architecture review to a full data and AI transformation strategy.
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Every engagement is scoped around a defined set of deliverables agreed at the outset.
We advise the way we deliver: pragmatically, transparently, and with the end state in mind from day one.
A typical advisory sprint runs four to eight weeks. Larger transformation-shaping engagements follow the same structure, scoped to your programme.
Executive interviews, strategy review and use-case discovery to establish where data and AI can move the numbers your board cares about.
Evidence-based assessment of data quality, architecture, skills and governance — using structured tooling and, where useful, DMOne™ data profiling.
Target architecture, operating model, governance direction and a prioritised use-case portfolio — presented as decisions with options and trade-offs.
A costed, sequenced roadmap with the first delivery increments defined — ready for your teams, ours, or a blend of both to execute.
Data & AI Advisory often leads directly into one of these focused strategy services.
