At Experian I’m always looking for ways to improve our customer experience and give our clients what they need to exceed their data ambitions. With this in mind I was delighted to be part of the recent launch of our brand new Customer Support Hub. It’s the product of some really in-depth analysis around exactly how our customers want to interact with us and access support for our tools.
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.
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.
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.
Open Data is growing in importance as commercial organisations see value in this data for their own purposes. However, with budgets under ever increasing strain, high quality Open Data has become harder to produce. During our recent study with the Open Data Institute, we identified the 3 key obstacles to creating high quality Open Data.
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.
Data usage is evolving, but so are data quality tools and users
Over the past few years, we at Experian have seen a big shift in data usage. Businesses are learning how to truly unlock the power of data to better serve their clients.
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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