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.
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.
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’.
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.
From a data quality perspective 2017 looks set to be a challenging year with organisations across the board striving to tackle the challenges of Open Data and the pressures of new regulation.
Meet Pavan, our resident Data Quality Management Expert, who chats with us about what he enjoys, the most common data quality problems he encounters and what he thinks are the biggest barriers for 2017.
In this second article in the series on tips for a data quality business case, I'm going to explain the importance of creating a ‘Lean Pilot and Roadshow’ for getting senior stakeholder buy-in.
In this first of a two-part series, I share tips for increasing the success of your data quality business case.
This week I’m looking at personal buyer drivers, and how they can influence the decision to approve or reject your data quality business case.
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