Data Quality Optimizer

What is the point of analyzing your survey data if your data is faulty?

Bad data is useless

Poor data quality is a major threat to market research studies, and it is growing fast in the age of bots, AI, and low-quality respondents. 

So what is the point of analyzing your survey data if the data is faulty? This is a known issue. Most companies have practices in place to catch it, so how do so many bad responses still slip through the cracks (and end up in your reports?)

The Bondar Group has developed a process to quickly evaluate your survey dataset and tell you everything you need to avoid questionable areas in your dataset and ensure your important decisions are only made based on top quality data.

Our Process

We provide a fast, clear assessment that helps you decide what to do next.

Pattern Detection

We quickly identify any potential problem areas to explore in your dataset, and get digging into the data.

Flagged Respondents

See exactly which respondents are showing signs of faulty data, and how many, so you know what can be trusted vs. what should be excluded.

Next-Step Recommendations

Get clear guidance on what to do next so you can move forward with confidence while still protecting your timeline.

24-48 Hour Turnaround

Once we receive your dataset, we will provide you with our assessment within 24-48 hours. Our fast process is vital so that you can move forward into your next phase with a necessary layer of confidence in your data, while your timelines don’t have to suffer.

Make your data-based decisions using data you can actually trust

You send us your dataset, we provide our assessment within 24-48 hours.