Better data quality starts with better inputs

Across the research data collection sector, there has been a clear rise in AI-driven solutions designed to detect survey fraud, keep out bots, and clean data more efficiently. This is an important development. As fraudsters and bots become more sophisticated, the industry’s defences have to evolve too. At Yonder Data Solutions, data quality is an […]

Representation in Focus

Beyond clean data: Representation’s importance in research Start a conversation The conversation around data is evolving. Data quality has long been a focus in the research industry, but we’re diving deeper now beyond “Is the data clean?” towards “Does the data reflect the real world?”. What happens when the right answers come from the wrong […]

Yonder Data Solutions wins MRS Operational Excellence Award

Yonder Data Solutions is proud to announce that we have been named winners of the MRS Operational Excellence Award at this year’s Oppies, one of the most prestigious accolades in the market research industry. The award is often described as the premier award for operations in research and recognises organisations that go above and beyond […]

Data Quality: Why the Swiss Cheese layering approach works

What does Swiss cheese have to do with online research data quality? Quite a lot, actually. In my view, it’s a perfect analogy for both the challenges we face and the solutions our industry is grappling with right now. Swiss cheese is famously full of holes. But if you layer enough slices on top of […]