Stalis Whitepaper: DM as a Public-Sector Delivery Risk

The Ownership Gap: Where Programmes Break Down

A recurring failure point in large-scale transformation programmes is the ownership gap around data migration risk. Responsibility is often fragmented across multiple suppliers, with unclear accountability between the systems integrator, the platform vendor, and the client organisation itself. As we’ve touched on previously, migration is frequently treated as a tooling or configuration problem, creating a false sense of security that technology alone will resolve delivery complexity. As a result, migration planning becomes disconnected from the operational realities of cutover and go-live. When issues inevitably surface, this fragmentation slows decision-making, drives escalation between suppliers, and erodes senior confidence, placing great acute pressure on the programme at precisely the moment when clarity, authority, and control are most critical. Stalis Advance efficiently and effectively manages and automates every aspect of end-to-end data migration requirements. The long list of activities, scripts and tasks that need to be run in the correct order is tightly controlled, from running extract routines against the legacy system, through applying mapping and transformation rules, to producing load files and validation/data cleansing reports. The solution can be applied to any source and target system with repeatability, quality and consistency guaranteed by tried and tested scripts and code. It can be used for complete, end-to-end data migration delivery, with the flexibility to also run individual elements of the process in isolation, e.g. to produce a specific load file or re-run validation following the revision of lookup values.

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