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.
You can finally ignore the assumptions, anecdotes and accusations about your data; data migration will expose the whole truth (and nothing but the truth!) about your data.
In this post, Dylan Jones (editor of Data Quality Pro/Data Migration Pro), shares more insights from the recent Data Migration Roundtable workshop where he was our guest speaker. You can read the previous article here: The continued need for impact assessment in data migration.
At the Experian Data Migration Roundtable, we saw two very clear themes emerge. Firstly, the need for an impact assessment before starting a data migration project and secondly, on using data migration as a design for data protection. So in Part 1 I’d like to kick off with a detailed look into our discussions around impact assessment.
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