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Data quality

Data decentralisation - the next big thing?

Steve Farr 6 minute read Data quality

In the mid 90’s Volvo produced an advert that spawned a cliché - “I’m a control freak!”. It quickly moved from being a badge of honour however, to an insult. None of us want to work for one, though we may secretly wish that we were one… grasping hold of that elusive control.

End users of business systems want to take control of their lives to get the job done; make the boss happy; fulfil the KPI - whatever the business goal. This has manifested itself in a number of ways over the past 15 years and I’m sure you’ll all be familiar with at least one of these scenarios…

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Three trends we discovered this Black Friday

Did you join the Black Friday bandwagon this year? Whether you got stuck in or stayed away, this year it felt as though Black Friday (and Cyber Monday) were bigger than ever. Not just that, the amount of emails hitting inboxes to let consumers know about the bargains to be had were non-stop.

It’s at this time of year that we’re always interested to take a look at the stats from our cloud-based contact data validation platform. It’s used by organisations from every sector to check and correct their customers’ address, email and phone number in real-time as they’re inputted on a website.

For retailers that’s normally as an integral part of the checkout process for their many millions of customers and because thousands of the busiest websites on the planet utilise Experian's products and services, Black Friday makes for some interesting stats!

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Can we automate data quality and can it support machine learning?

Paul Malyon 10 minute read Data quality

I recently blogged on the emergence of the IoT (Internet of Things) and how it’s a new front in the battle against poor quality data. This time I wanted to take a two-pronged approach to another emerging trend – machine learning. With this blog, I want to examine whether machine learning can be used to maintain and improve data quality but also look at the risks to machine learning posed by poor quality data.

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Cleveland Police UK Wins The Experian ‘Data Excellence’ Award

Rebecca Hennessy 3 minute read Data quality, Life at Experian

Every day we work with companies doing amazing things with their data. We are therefore delighted to be sponsoring the very first Experian ‘Data Excellence’ award at this year’s Lloyds Bank National Business Awards. It gives us the chance to celebrate organisations for their innovative thinking and excellent use of data – an area we at Experian are very passionate about.

So, we are pleased to announce that Cleveland Police are the deserving recipient of the inaugural award for their ‘Golden Nominal’ project – an initiative which demonstrates how the power of better data can have a positive impact on policing.

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4 reasons why good data quality is essential for charities

We’re more connected to smart technology than ever and demand more personalised, seamless experiences across every single touchpoint. Charities or not-for-profits (NFP) aren’t immune from this and delivering a seamless experience to supporters, and gaining their trust and loyalty, (along with a host of other good stuff) requires good quality data as a fundamental starting point.

The leading charity for the Armed Forces uses Experian’s data management platform to deliver an accurate view of contact data. A key enabler to targeted fundraising communications, efficiency and better insight, it supports a data-driven approach to the charity’s vital work.

With this endorsement on the importance of accurate contact data in mind, here are our top reasons why this should be a priority for you:

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Experian and The Data Literacy Project

Paul Malyon 4 minute read Data quality, Life at Experian

As a founding member of The Data Literacy Project alongside Qlik, Accenture, Cognizant, Pluralsight and the CIM, Experian is supporting the Data Literacy Project to help organisations, educators and individuals speak the language of data. Today, data literacy is as important as reading and writing, but we're facing a significant skills gap.

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Data quality - the lifeblood of IoT

Paul Malyon 8 minute read Data quality, Data preparation

In my last blog we looked at the rise of IoT and some of the challenges that organisations are facing around the privacy and security of data. But what about the data itself? Whilst there might be more data out there than ever before, for it to be useful there’s some very important groundwork to be done.  Let me explain.

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The Internet of Things – the next big data quality challenge

Paul Malyon 5 minute read Data quality

Those of us who’ve been in technology and data for a while know a ‘hype’ when we see one. I’ve personally been through the hype cycles of CRM systems, the Cloud and big data. We’re now seeing more and more in industry and mainstream press about the Internet of Things (IoT) and Blockchain.

I won’t cover the latter in detail (as I, like most people am still trying to understand it!) but will look at how smart fridges, connected cars and pretty much every device you can think of are presenting our societies with huge opportunities but also a major data quality headache. 

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Data in healthcare - my journey

Alia Shakir 7 minute read Data quality

It is well known that we all rely on data to make decisions, all day every day. However, starting a job at Experian at the same time as being diagnosed with Type 1 Diabetes brought this to the front of my mind with the big role data plays in managing my illness. I therefore thought it would be interesting to bring the importance of data in healthcare to life, through my own recent experiences.

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Tackling the £1bn ‘no show’ problem in the NHS

Paul Malyon 4 minute read Data quality

The pressure on the NHS is widely reported and after an exceptionally difficult winter, the knock-on effects appear to be on-going according to this article. One particular challenge that was widely reported in early January 2018 is the estimated £1bn annual cost to the NHS of ‘no shows’ at GP and hospital appointments.

8 million missed appointments each year, with an average cost to the NHS of £120 each will clearly be putting added financial pressure on services that are already stretched. Whilst the growing use of phone and online services (such as the 111 helpline) can go towards reducing pressure on frontline services, could the NHS be doing more with its data to help cut the cost of ‘no shows’ and reallocate this saving to better use?

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