Start here · Essential guide
Planning a System Migration: Phases, Risks and Checkpoints
An end-to-end view of system migration planning, from assessment and design through testing, cutover and decommissioning, with the main risks and checkpoints.
Change and Migration
Migration Planning
Moving data, systems and processes from old setups to new ones.
Big Bang Versus Phased Cutover
Compare a single all-at-once switch with a staged cutover strategy, and see how the risk, cost, complexity and recovery options differ between the two approaches.
Consolidating Multiple Systems Into One
Merging several local systems into one raises problems of conflicting data, differing processes and local resistance. Learn the main challenges and how to approach them.
Current State Assessment Before a Migration
Learn how to inventory systems, data, integrations and informal workarounds before moving, so a migration plan rests on what actually exists rather than on assumptions.
Data Migration Basics: Mapping, Cleansing and Validation
The core steps of data migration: field mapping, cleansing, trial loads and reconciliation checks, so that data arrives in the new system accurately and can be trusted.
Decommissioning Legacy Systems Safely
How legacy decommissioning works: confirm nothing depends on the old system, archive data, remove access and retire hardware and contracts without losing records.
Rollback Plans for Migrations
Rollback planning means deciding in advance how to return to the old state if a cutover goes wrong: triggers, decision makers, data handling and the point of no return.
Running Old and New Systems in Parallel
Parallel running keeps the old and new systems live side by side for a period. See when it helps, what it costs, how to compare results and how to end it cleanly.
Testing Before Go-Live
Go-live testing covers unit, integration, performance and user acceptance tests. See what each type checks, who should run it and how to set exit criteria for launch.
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