A recent study by Bloor Research put the failure rate for data migration projects at 38% – a staggering statistic. Especially when one considers that a failed data migration project can temporarily hold up vital business processes – which of course often impact customer-facing operations. So why do so many integration projects end in failure?
That question, and a look at how companies can avoid the most common mistakes, is something I focused on for an article in our recent CBR Data Quality Management Special Report (you’ll find that on this microsite, along with a number of white papers and a video podcast featuring yours truly talking to Experian’s Colin Rickard.)
Rickard, Experian’s data management director, started by explaining why data migrations are undertaken in the first place. "There are really two main drivers for these sorts of migrations," he said. "The first is mergers and acquisitions, in which companies often find themselves with a plethora of systems doing the same or similar things. Mergers and acquisitions is a classic one really, because you often end up with two or three separate systems, and someone in the call centre is saying, ‘were you originally with company ‘A’ or company ‘B’? The operatives have to get to the right system of course.
"And the other is what you might call new IT innovation, for example legacy migration. Companies are asking how they can reduce cost across the board, but you only really get that cost reduction if you are able to transfer entirely off the old system."