Last night we were thrilled to see long-standing customer, Cleveland Police, named as winner of the ‘Breakthrough with data’ Award at DataIQ’s 2018 Talent Awards.
The DataIQ awards are all about recognising excellence in data and analytics and the sheer number of entrants across 18 categories is testament to the way data is driving change for those organisations that are embracing its opportunity.
This week sees the launch of Experian’s brand new data management platform, Aperture Data Studio. It’s a platform that we’re all incredibly excited about. It brings together our expertise in data quality with the power of Experian data, to help our customers solve a wide range of business problems. Importantly, targeting the needs of the business user, Aperture was built around the principles of ease of use and simplicity of implementation. For our users, the ability to drive results in days rather than months is the critical element that separates Aperture from the rest.
If you want to tackle data quality issues, the very best place to start is by understanding where you are right now. That’s why we’ve just launched a new interactive data quality maturity assessment. It’s a great starting point for getting a benchmark of your data quality sophistication across the three core building blocks of a successful data improvement initiative; people, process, and technology. Taking the test will place you in one of 4 categories, ‘unaware’, ‘reactive’, ‘proactive’ or ‘optimised and governed’ and offer steps to take to make future improvements. It could offer invaluable advice to kick-start your data quality initiative.
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.