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Data governance

4 steps to get your data governance initiative off the ground

Guest Editor: Nicola Askham 7 minute read Data governance

In my last blog, I wrote about the reasons why it’s important to get stakeholder buy-in to start working on data governance. In this blog, I will look at the next stage – 4 practical steps to get the foundations ready for building your initiative.

Data governance is paradoxical. The concept itself is quite straightforward. After all, it's just about proactively managing your data in order to improve the quality of it. But despite the fact that many businesses are on board with the benefits, a great deal still struggle to implement data governance.

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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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Data breach planning - how quickly could you act?

It is still difficult to comprehend that one in five businesses of all sizes has experienced a data breach in the past two years (21%). Our latest research (carried out by consultancy company ComRes) has shown this.

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Are you on the same page as your customers when it comes to data breach response?

Any company, small or large, depends on its customers for business – and therefore success. They’re the lifeblood. And yet, our research has revealed that in the event of a crisis, specifically a data breach, businesses can become introspective and (unintentionally) put their interests ahead of their customers.

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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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How to get buy-in to your Data Governance Framework

Everyone agrees that implementing data governance can be challenging, but not all parts of the process are as difficult as others. Designing a simple data governance framework to help your organisation proactively manage the quality of its data is not too hard to do. The problem most people face is getting their stakeholders to "buy in" to their data governance framework.

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Examining consumer attitudes and business challenges in the run up to GDPR

Rebecca Hennessy 5 minute read GDPR, Data governance

This month sees the launch of new research in the wake of our recent Global Data Management Research. This new project from Experian and Data IQ focusses on consumer attitudes towards data use in light of forthcoming GDPR compliance.  So why does this matter so much?

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Data Management Research – Consumer expectation versus business reality

The results are in. This year’s Global Data Management Research makes for some particularly interesting reading with a clear focus on why growing customer expectation and the forthcoming regulation should be driving the need for better data management.

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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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Assessing the accuracy dimension with a data quality site audit

Dylan Jones 5 minute read Data governance, Data quality

How good is our data? This is the question that people are trying to answer when they undertake a data quality assessment. Dylan Jones explains the best way to answer it.

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