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Monthly Archives: May 2017

Data Migration Butterfly Effect

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!

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5 common data quality myths – setting the record straight

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.

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Lifting the lid on data migration in 2017

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.

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Identifying the good, the bad and the ugly in the proliferation of data, and why it’s important to see the full picture

The proliferation of data provides us with both challenges, and, if managed correctly, great opportunities. So where to start? It’s all about being able to get a full and complete view of your data. Without the ability to bring relevant data elements together into a single view it’s simply impossible to ‘see the wood for the trees’.

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