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Syniti 30.qxd 01-<strong>Dec</strong>-23 11:06 AM Page 2<br />
MANAGEMENT: DATA MIGRATION<br />
FACING MIGRATION ISSUES HEAD ON<br />
af<br />
KEVIN WILD, HEAD OF<br />
PRESALES AT SYNITI, EXPLAINS<br />
HOW TO MANAGE COMPLEX<br />
DATA MIGRATION IN THE REAL<br />
WORLD<br />
Data migrations are complex and<br />
they can be daunting, especially<br />
when it comes to moving large<br />
amounts of data across enterprise<br />
resource planning (ERP) systems. That's<br />
not hyperbole, it's a statement borne of<br />
experience. I've seen first-hand that there<br />
is no such thing as a simple migration<br />
and when you add in multiple source<br />
systems or multiple targets, complexity<br />
ramps up quickly.<br />
How do we manage that complexity and<br />
get to a stage where the outcome is<br />
predictable? Is that even possible in the<br />
real world, where we're also managing<br />
our day-to-day priorities too?<br />
THE CHALLENGES<br />
Before we get started, it's important to<br />
recognise that no two migrations are the<br />
same. Single source to single target<br />
migration has its share of challenges. But<br />
it's rare to find a large-scale<br />
transformation that is a straightforward,<br />
single source to single target affair.<br />
Instead you're more likely to find multiple<br />
source systems or multiple targets, which<br />
exponentially increases the complexity.<br />
Often, data exists in different formats,<br />
meets different standards or, sometimes,<br />
may not exist at all. This is a challenge I<br />
regularly come across when companies<br />
migrate as part of a merger or acquisition<br />
But although it is true that each<br />
migration is different, the solution is<br />
universal. A successful migration relies on<br />
preparation and putting in the<br />
groundwork.<br />
PREPARING FOR MIGRATION<br />
To tackle migration complexity head-on, a<br />
solid, repeatable methodology is<br />
essential. A strategy that not only<br />
addresses the challenges at hand but also<br />
ensures a predictable outcome. By<br />
'predictable outcome,' I mean a scenario<br />
where, on day one after cut-over, the data<br />
seamlessly supports the business<br />
processes. Anything short of this is a<br />
failure.<br />
But it won't happen without data<br />
30 <strong>ST</strong>ORAGE <strong>Nov</strong>/<strong>Dec</strong> <strong>2023</strong><br />
@<strong>ST</strong>MagAndAwards<br />
www.storagemagazine.co.uk<br />
MAGAZINE
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