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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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