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.
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.