A follow up to the recent 'Smarter Marketing Checklist', Sophie considers tactics to optimise your email program once its up and running. In particular this blog looks at why regularly cleaning your email list is a crucial activity.
We are pleased to announce that this year’s Data IQ talent award for ‘Data quality programme leader’ was awarded to our very own Experian Pandora user, Paul Hennessy from Aldermore. The worthy winner of this incredible award created and implemented a transformational data governance and quality program; ensuring Aldermore has the data it needs to deliver on key strategic activity.
Even when all the letters in a sentence are jumbled, most of us can still read between them and make out every word. Unfortunately in the data world the same rule doesn't apply. When capturing your customer’s contact details, be that; email, address, telephone numbers etc. it’s critical to capture these details correctly first time.
* As featured by Fresh business thinking.com
Email marketing is a critical tool in every marketer’s toolkit and it’s not going anywhere. It is however getting more and more difficult to cut through the noise and make your emails stand out from the crowd. With this in mind, email marketing expert Sophie Armitage has developed a best practise checklist designed to help you get better results from your email activity - including why cleaning your email list is crucial.
Data migration is an extremely common, business-critical task. So it may come as a surprise to learn how many companies experience considerable challenges when executing such projects. A recent study commissioned by Experian Data Quality* showed that 9 out of ten businesses engage in data migration projects and as many as 85% experience significant problems managing them.
*As featured by Computing
With data moving higher up the business agenda we’re seeing pressure mounting on those responsible to deliver on its demands. As a result, a number of challenges have emerged for both Chief Information Officers (CIO) and Chief Data Officers (CDO) alike, caused by a lack of suitable technology that’s ultimately having a time and cost impact on resources, their ability to support each other and deliver on data strategy.
*As featured by Information Age - insights and analysis for IT leaders
According to recent research, organisations that proactively manage data as an asset with a joined up approach to data quality, are the ones that reap its full strategic value. Furthermore, although 93% say they are actively trying to find and resolve data quality issues, they also feel that a massive 23% of revenue is still being wasted due to poor quality data.
The good news is that I believe technology can provide a solution, helping organisations achieve better results, quicker, thanks to learning from the experiences in other areas of Information Management.
Now more than ever, we’re seeing organisations becoming more aware of data as a strategic asset. So it’s with great pleasure that I’m able to announce the launch of our new website www.edq.com/uk – a best-in-class ‘destination’ that aims to meet the growing needs of anyone looking for data quality information and solutions that will help them to better utilise and understand their data.
According to the latest Experian Data Quality Global Research, almost 63% of organisations lack a coherent, centralised approach to data quality. When looking at the numbers behind the research, more than half (51%) say individual departments still adopt their own strategy, and while 92% of businesses surveyed still find data quality challenging, this clearly points to a lack of a consistent and centralised approach as one of the problems. It is not just about having a data quality strategy in place; it’s about doing it in a streamlined, consistent and efficient manner that creates the more mature data quality organisation.
In my previous blog, I talked about Experian's brand new Data Quality Improvement Assessment, why we developed it and how we hope organisations will benefit from using it. The assessment gauges an organisation's data quality strategy maturity and plots the results on our data quality maturity curve as well as offering useful reading and advice.