Our recent Global Data Management Research provides an interesting perspective on the current challenges and opportunities that data presents to organisations in the digital age. What it also highlights is why data quality’s more important than ever in 2018 and some of the key challenges that organisations are facing when managing their data. To bring this to life, I’ve chosen 5 standout stats and suggested some useful resources for those looking to explore them further.
Last night, DataIQ revealed its 2018 list of the 100 most influential people in data-driven business, the DataIQ 100. I was delighted to be included for the second year running - and I’m in very good company. This year’s list is an impressive collection of people using data to make a real difference to the way they drive their business forward. I’m pleased to say that this includes two of Experian’s key customers, Adi Clowes, Head of Data and Analytics at Center Parcs and Michael Greene, Group Data and Analytics Director at Tesco.
2018 is a big year for data as the GDPR comes into force in May. It’s undoubtedly sharpened focus on the industry and brought data issues to the forefront of many organisations. With this in mind, the release of our annual Global Data Management Research is particularly timely and it gives us a detailed insight into how organisations are faring in today’s ever complex digital world.
I was recently invited to take part in a ‘Chat with Channeliser’ about data quality. I always welcome any opportunity to talk about data quality because it’s a topic often dismissed as quite operational, but one which has big implications for organisations that don’t take it seriously. You can watch the full interview here but to whet your appetite, here’s a few key questions that we covered.
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.
Data quality leaders often struggle to connect the dots between the businesses’ goals - increasing revenue, cutting costs, optimising performance - and managing data quality more effectively. This makes building a business case for a data quality programme difficult.
To counter this, we’ve teamed up with Dylan Jones, data quality guru, and put together a guide to walk you through some practical steps you can employ (at zero or minimal cost) to build a case for data quality investment.
The GDPR - we all know it’s coming and we all know we need to do something about it. What isn’t always obvious however is what to tackle first when the elements can be overwhelming -particularly with just 9 months left.
As Head of Propositions for Experian UK&I, I’ve been involved in conversations with many organisations and it’s clear that consent is front of mind. Whilst that is indeed critical for GDPR, it shouldn’t be at the expense of thinking about how you’re going to manage all your existing personal data assets. Having the right processes in place for dealing with data quality is fundamental to ensuring you can address all the actions stipulated in the regulation.
As the head of user experience at Experian Data Quality, I’m often tasked with improving a website, an app or a product. This process often involves solving various challenges, such as “How can we interpret our customers’ behaviours so that we can provide them with a better experience and a more relevant service?”
So how do we do that and what’s it got to do with data?
I love online shopping. I wish I had a pound for every hour I’ve ever spent browsing shopping apps or online stores, looking for deals or unique items; I’d spend those pounds on more shopping. We are now less than a month away from Black Friday, the busiest shopping event of the year where millions of Brits will be jumping online to snap up limited-time-only offers.
Having accurate data. Or more specifically, making sure the data you already have is accurate and up to date and that the new data you’re collecting – address, email and mobile – is captured accurately.
Businesses today continue to see data gaining in importance. As more and more organisations work to harness the power that their information can afford them, their underlying data is affecting every aspect of their operations. Departments like customer service, digital commerce, finance, compliance, operations, and more are all working to figure out how they can use data to better serve their customers, reduce risk, and become more efficient in their operations.