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.
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.
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: