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.
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.