I was recently lucky enough to present to a group of Pharmaceutical organisations at an industry event in Södertälje, Sweden. They were concerned about the arrival of the GDPR and what it could mean for the data held within their supply chains – which are complex to say the least!
I thought it would be worth summarising my discussion with this group as the issues facing the pharma industry will be similar for any organisation that has a complex supply chain of ingredients, parts or products – for example, manufacturing and retail.
With GDPR enforcement imminent, it’s a pivotal moment to observe how well geared up UK organisations are, as well as the changing perceptions of consumers around use of their data.
So, once again, we’ve teamed up with DataIQ to carry out the third instalment of this GDPR Impact Series research. Hot off the press, we were delighted to launch the report at a co-hosted DataIQ event last week where the guest panel, including our own Paul Malyon, got to grips with key priorities and tips for getting ready. You can read more about the discussion in DataIQ’s round up here.
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.
It’s been an eventful year as organisations ramp up to meet their GDPR obligations. So, with that in mind, our GDPR event programme was borne. An initial series of roundtable events has snowballed and we’ve had the pleasure of speaking to hundreds of attendees from organisations of all shapes, sizes and industries – all hungry for support with their preparations.
I’ve hosted many of these events and what really hit home was how many organisations still aren’t clear on how to tackle common challenges. We see some of these questions coming up again and again, so I’d like to give you a brief summary of the most common.
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.
Data degrades over time. Our latest global research indicates that organisations suspect that an average of 30% of their customer / prospect data is inaccurate. Unless individuals (customers, citizens, staff, supporters) actively update their data on a regular basis, there will clearly be a degradation in usefulness and value of that data. In some cases, this fall in quality may lead to an increase in potential risk, which could lead to brand damage or regulatory action.
So, what can organisations do if they can’t be certain that everyone in their databases will regularly update their information if, for example, they move home, get a new mobile number or experience a family bereavement? There are a number of simple steps you can take to remove this risk. Here’s a roundup…
We hear a lot about the opportunities that effective data management can bring to organisations, but I’m not always sure it’s clear how to apply it, or how to drive value from it. The four pillars of good data strategy offer a view on how to approach it, but the important part is what outcome it can bring.
Here are three takeaways from a recent presentation I gave on the opportunity of GDPR. These will help you think about your data strategy and how to drive value in our data-driven economy, particularly as you prepare the data you hold to support your GDPR compliance.
Welcome to a new series of blogs we’re calling ‘back to basics’. I’ll be aiming to unpick the nitty gritty of data quality and, in simple terms, explain why it’s so critical to organisations, both large and small if they want to stay ahead of the curve.
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.