Data confidence

At Danebury Research, we understand that data confidence is essential for making informed, brave decisions. That's why we take every measure to ensure that the data we collect is accurate, reliable, and representative of the target population.

We work with a range of partners, including data suppliers and panel providers, to ensure that the strictest checks are in place to validate the data we collect. We also implement rigorous quality control processes to ensure that the data we deliver meets the highest standards of accuracy and reliability.

In addition, we are committed to protecting the privacy and confidentiality of our respondents, and we adhere to all relevant laws and regulations related to data protection and privacy.

We are dedicated to providing our clients with data that they can trust and rely on to inform their decision-making process. By empowering you with high-quality data, we can help you to make informed, brave decisions that drive your business forward. So, if you want to make brave decisions with confidence, contact us today to learn more about our data confidence solutions.

  • Industry standards

    We follow all relevant guidelines, codes of conduct, and industry best practices to ensure that our research is ethical, transparent, and reliable.

    Danebury Research complies with ESOMAR, MRS, ARF, MRIA, AMA, AMSRO and Insights Association standards, and we adhere to their codes of conduct and guidelines for ethical research practices.

    In addition, we are committed to maintaining the confidentiality and privacy of our respondents, and we adhere to all relevant laws and regulations related to data protection and privacy.

  • Monitoring

    At Danebury Research, we are committed to conducting market research that is ethical, transparent, and reliable. One of the ways we do this is by monitoring our respondents and tracking good behaviour within our research.

    We have measures in place to detect and prevent fraud or other inappropriate behaviour during our research. For example, we use advanced technology and sophisticated algorithms to identify and filter out invalid responses, and we have processes in place to verify the authenticity of responses.

  • Evaluate

    All of our respondents go through a thorough evaluation process to ensure that they meet our strict quality standards. We use advanced technology and sophisticated algorithms to identify and filter out invalid responses, and we have processes in place to verify the authenticity of responses.

    In addition, we ensure that all of our panellists have double opted in, which means that they have explicitly agreed to participate in our research and have provided us with their consent. This helps to ensure that our respondents are engaged and interested in participating in our research, which leads to higher-quality data and more accurate insights.

  • Representative

    Representative quotas are used to ensure that the data we collect is representative of the target population. By setting quotas for specific demographic characteristics, such as age, gender, and geographic location, we can ensure that our sample is representative of the target population and that our data is accurate and reliable.

    Applying representative quotas to our surveys helps to ensure that our data is representative of the target population and that our insights are accurate and reliable. It also helps to minimize bias and ensure that our data is representative of the target audience.