Last year, Experian commissioned Dylan Jones and the team at Data Migration Pro to carry out a programme of research looking at the current data migration landscape.
The output was a fascinating, ‘in-the-trenches’, account of modern migration practices that identified some clear trends that can lead to project success. This blog will give a good overview of the key findings, so read on for my highlights.
I was recently invited to take part in a ‘Chat with Channeliser’ about data quality. I always welcome any opportunity to talk about data quality because it’s a topic often dismissed as quite operational, but one which has big implications for organisations that don’t take it seriously. You can watch the full interview here but to whet your appetite, here’s a few key questions that we covered.
With 2018 now live and kicking, I decided to take a look back at what subjects proved most popular in 2017 based on our blog. With GDPR coming up fast in May, interest in Data Regulations has unsurprisingly jumped up the list, but read on to take a look at what other subjects piqued your curiosity and delve into some of the best articles from last year.
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.
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.
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.
During a recent interview with Rebecca Hennessey, I also explored some of the key findings and recommendations from the research.
In this post, I want to expand on those earlier insights by introducing the ‘Data Migration Butterfly Effect’.
This phenomenon occurs when a few simple oversights, typically at the beginning of a data migration project, can cause a chain reaction leading to widespread chaos and delays as the project develops!
Goldfish have a six second memory. The Great Wall of China can be seen from space. We only use 10% of our brain. Myths have an annoying habit of becoming accepted as truth if enough people hear them and enough time passes – and the Data Quality industry isn’t immune to this.
So, I have taken it upon myself to ‘debunk’ some Data Quality myths and provide some great resources to help you succeed in your data quality initiatives.
To help increase understanding and awareness of data migration, we recently commissioned a data migration research study with Data Migration Pro, the community resource for data migration practitioners.
I also caught up with the editor of Data Migration Pro, Dylan Jones, to get some highlights from the research.
With 2017 underway, we decided to have a look back at what data subjects proved most popular with you during 2016. Below are our 5 most popular articles from last year covering data migrations – hurdles to avoid and approaches to consider; measuring data quality and the 6 key dimensions for assessment; data governance responsibilities for data quality success and of course GDPR, perhaps one of the most talked about data subjects of 2016. See if you missed any of the key talking points.