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.
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.
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.
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.
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?
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.
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.
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.
In this post, Louise shares an overview of 5 of the key elements that make up the new European General Data Protection Regulation, and considers the financial impact if businesses get this wrong.
I presented at a Data Governance Roundtable for Experian Data Quality, where most people involved were doing their first ever data governance implementation. The main talking point - how do you find the right data owner?
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