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Your favourite data topics of 2016

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.

 

8 Hurdles of a Data Migration

With 38% of data migration projects failing, we take a look at the common hurdles to avoid that might derail your project.

Read 8 Hurdles of a Data Migration

 

 

What Data Governance roles do you need to make your Data Quality initiative a success?

Nicola Askham describes the four Data Governance roles and the responsibilities each involve in order to make your Data Quality initiative a success.

Read What Data Governance roles do you need to make your Data Quality initiative a success?

 

 

3-2-1 Start Measuring Data Quality

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.

Read 3-2-1 Start Measuring Data Quality

 

 

How to Deliver a More Agile Data Migration

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.

Read How to Deliver a More Agile Data Migration

 

 

The new EU regulations explained…

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.

Read The new EU regulations explained…

 

 

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