In the recent Data Migration Research Study (carried out on Data Migration Pro in partnership with Experian) we took a detailed look at what’s happening in today’s data migration space. I’ve been exploring some key observations in my ongoing blog series and today I’d like to look at a particularly important factor - reliance on the 'Waterfall Method' of software development.
Interestingly up until July 2015, Ireland was one of the few developed nations without a postal code system. So the need for more accurate address data was pretty clear and that’s why Eircode was created. It’s a brand new advanced postcode system which can locate every home and business address in Ireland. With Eircode you can locate every individual address in the country using a single code at the end of a current address, like postcodes in the UK, helping to accurately direct mail and services to Irish addresses.
Any company, small or large, depends on its customers for business – and therefore success. They’re the lifeblood. And yet, our research has revealed that in the event of a crisis, specifically a data breach, businesses can become introspective and (unintentionally) put their interests ahead of their customers.
During a recent Data Migration Roundtable, a delegate confided with me that they were feeling overwhelmed at the thought of having to coordinate and oversee a large data migration project.
Coping with all the moving parts of a complex data migration is a common challenge, so I wanted to share some practical ways that I’ve approached this in the past.
“Unity is strength when there is teamwork and collaboration, wonderful things can be achieved” Mattie Stepanek
At Experian we firmly believe that we can make a difference to society and our communities by helping people to make the most of their data to ‘create a better tomorrow’. For us being committed to this vision also means playing a role in celebrating and supporting diversity – and that’s just as important inside our business as out.
Traditionally, organisations have tackled their SCV requirement through the deployment of an MDM platform. And yet, as Philip discusses in his paper, ‘MDM has always been complex, costly and time-consuming to implement’ and so not necessarily, therefore, in tune with modern business requirements. Layer in an increase in regulation and we have a perfect storm of reasons for organisations to seek an alternative route.
So, what options are there for organisations looking to keep costs to a minimum or take a more agile approach to developing an SCV?
It was June, and Europe was turning to summer. Excited, I was walking around the office, when my colleagues caught my good mood. "What are you doing this weekend?" I answered "Cycling from London to Paris!" I have ridden cycling races and sportives, but wasn’t sure what to expect from my body, my mind and my companions. After 3 days, 36c heat, 20 energy gels, 2 punctures and 270 miles in the saddle - I learnt these three things.
We recently hosted a packed-out Data Migration Roundtable event that focused on some research that we commissioned from Data Migration Pro to explore ‘the state of the nation’ regarding modern data migration projects. In this post, I want to cover off some of the questions that we simply didn’t get a chance to cover fully on the day.
The impact of the GDPR (or the General Data Protection Regulation) on data strategies is rapidly coming into focus ahead of the 25th May 2018 deadline, the date on which it comes into force.
With this in mind, I thought it would be useful to take a look at one particular element of the GDPR that is going to present both opportunities and challenges for businesses. That element is the right to data portability.
If you saw my recent Global Data Management Research highlights post you’ll be aware that there are some pressing issues that organisations are up against in 2017. I was delighted therefore to have the opportunity to explore some of these issues further in a feature article on IT Pro Portal. You can see this below or visit the site to read it along with a wealth of other data-related market perspectives.
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