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Scott Drayton

Scott is Experian Data Quality's Digital Marketing Executive. Scott works with web analytics and targeted campaigns and therefore has a particular interest in data-driven marketing.

Drowning in Data Jargon

6 minute read Data quality, Data regulations, Data profiling

If you are a data quality professional then you have more than likely heard the terms Data Lake, Data Swamp, Data Ocean and even Data Pond and Data Puddle. In fact, stick the word ‘data’ in front of any word used to name a body of water and you’ve more than likely found a commonly used term in the industry (although I have yet to hear of a Data Paddling Pool’). As the gatekeeper of our ever-growing Glossary section, I have picked out some of the most commonly mistaken terms – and with help from our team of experts, I’ve explained how we define them.

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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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