Danielle is a Marketing Specialist at Experian Data Quality and has worked with various technology businesses over the last 4 years. At Experian, Danielle’s focus is engaging customers with content that helps provide solutions to their data quality problems.
I’m an avid shopper. I know the importance of a seamless, intuitive shopping experience; from finding the product I’m after, through to checkout and any post-sale service. Once I find this, I’ll want to keep coming back for more. The opportunity here for retailers to disrupt, stand out and build loyalty is strong - and other consumers agree. 72% wish that retailers would be more innovative in how they use digital technology to improve their shopping experience. And likewise, 72% of consumers are more likely to shop with retailers that are digitally innovative – up from 60% in 2017. (The Future Shopper, Salmon 2018)
Organisations who hold personal data have had over five years to consider how they will be impacted by the General Data Protection Regulation (GDPR). With the deadline approaching it’s fast becoming a reality and so understandably there’s still lots for organisations to do. Many will feel uncertainty around what’s needed to prepare and the extent of the impact.
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.
I love online shopping. I wish I had a pound for every hour I’ve ever spent browsing shopping apps or online stores, looking for deals or unique items; I’d spend those pounds on more shopping. We are now less than a month away from Black Friday, the busiest shopping event of the year where millions of Brits will be jumping online to snap up limited-time-only offers.
Having accurate data. Or more specifically, making sure the data you already have is accurate and up to date and that the new data you’re collecting – address, email and mobile – is captured accurately.