A recent study by Bloor Research put the failure rate for data migration projects at 38 percent. This is hardly surprising, given the underlying issues that can cause projects to fail are often not addressed. Those that claim success often ignore project issues such as missed deadlines, increased resource allocation, and decreased project scope.
An organisation can improve their chances of success by having a clear understanding of the factors that could lead to its failure. This Experian discussion paper looks to highlight common data migration pitfalls that undermine project success in order that organisations avoid them when planning their own data migration.