Data Migration
The vast majority of our engagements have been on Data Migration projects, occupying senior management positions with full ownership responsibility for data migration delivery.
Two of these projects are the largest ever successfully completed globally, on time and to budget and have won awards as a result. The experience and knowledge gained from these projects underpins the services that Enisus can offer its clients.
At Enisus we can assist you with scoping (in particular in regard to the migration of data history), planning, development of a strategy, governance, cleansing, extraction, transformation, validation and reconciliation.
We can advise with referenceable, proven approaches and have a generic documentation suite that can be rapidly updated to reflect your specific detailed requirements. Our ethos is to leverage our previous collateral to minimise our engagement whilst greatly expediting your delivery timeline, thus saving you resource costs overall.
Flagship projects have held key management positions on:
The first of these was the migration of 1.3 million Employee HR and Payroll data records, from 38 legacy source systems, into a single Oracle HCM instance known as the Electronic Staff Records (ESR) for the British National Health Service (NHS). At the time of completion the NHS was the 3rd largest employer in the world. For two years 50 organisations were put live every 2 months, each with localised requirements. The accuracy rate of payroll post migration was 99.9999%, far exceeding industry standards. The system is still in operation today, managed and hosted by IBM.
The second project was for the consolidation of 42 countries (with multiple languages including Cyrillic and Character based) onto a single global instance of Oracle Financials; each country sharing a Chart of Accounts and business processes, as well as being supported centrally by two time zone specific Service Desks. Data Migration involved the movement of 68 million finance records (13.6 billion fields of data), full data cleansing in advance of deployment, extremely detailed planning cross time zones and ultimately was completed on time and under budget, far exceeding Quality KPIs.