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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.

Piecing together the SCV puzzle

7 minute read Data quality, Data profiling, Data preparation

As you can see from my wonderful author profile above, my name is Scott Drayton. I spend far too much of my spare time sitting inside playing my Xbox. I also mostly use Outlook for my personal email needs, and own a laptop that runs Windows.

Don’t worry, you haven’t accidently clicked on a terrible dating profile. What I am going to illustrate is just how quickly the Single Customer View (SCV) that you need to effectively serve your customers, can become a tangled mess of duplicate records using a brief story about my life.

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What were the 5 most read topics on our blog in 2017?

With 2018 now live and kicking, I decided to take a look back at what subjects proved most popular in 2017 based on our blog. With GDPR coming up fast in May, interest in Data Regulations has unsurprisingly jumped up the list, but read on to take a look at what other subjects piqued your curiosity and delve into some of the best articles from last year.

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Drowning in Data Jargon

6 minute read Data quality, GDPR, 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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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. 

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