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.
With 38% of data migration projects failing, we take a look at the common hurdles to avoid that might derail your project.
Nicola Askham describes the four Data Governance roles and the responsibilities each involve in order to make your Data Quality initiative a success.
A more in-depth look at the six key dimensions for data quality assessment – starting with the higher-level Completeness, Uniqueness and Validity, down to the more detailed Accuracy dimension.
Dylan Jones explores wherever there is a more agile approach to data migration than the standard Waterfall model – looking at Pre-Migration Impact Assessments [PMIA] and increments.
A drill-down of the key elements of the new EU GDPR legislation. Louise Read identifies the main changes and how they may affect you.
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