Data Quality Co-op provides a platform that enhances the integrity of first-party data through automated quality certification and actionable insights. This enables organizations to reduce data waste and fraud, ultimately improving decision-making and operational efficiency.
Funding
$1.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
KFounders
Product
Problem
Organizations struggle with maintaining the integrity of their first-party data, leading to wasted resources, increased fraud, and flawed decision-making. Incomplete or inaccurate data can disrupt fieldwork, inflate operational costs, and obscure valuable insights.
Solution
Data Quality Co-op offers a platform designed to enhance the quality and reliability of first-party data through automated certification processes and actionable intelligence. The platform enables organizations to differentiate their data based on quality metrics, providing a clearer signal and reducing noise. By understanding the 'State of the Industry' and the nuances of their data supply, companies can improve data quality, reduce fraud and data waste, and automate tasks.
Target Audience
The primary target audience includes brands, fieldwork agencies, panels, suppliers, research agencies, platforms, media agencies, and consultancies seeking to improve their data quality.
Features
- Automated data quality certification
- Industry insights for benchmarking data quality
- Identification of data supply chain issues
- Fraud detection and waste reduction tools
- Actionable recommendations for data improvement