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Surprising Data Quality Findings in U.S. Organizations

A newly released survey conducted by Parseur has revealed an alarming contradiction in how business leaders in the United States perceive the accuracy of their data. Despite a high level of confidence—with 88% of executives asserting that they believe their data to be very or somewhat accurate—these same leaders are simultaneously uncovering significant errors in the data that feeds their analytics and AI systems. This paradox raises important questions about the true state of data quality in an era increasingly dominated by AI-driven technologies.

Data Quality and Confidence Illusion

The survey findings suggest that organizations may be experiencing a "confidence illusion," as many of the 500 U.S. professionals surveyed revealed they are discovering errors in document-derived data at least occasionally. A staggering 69% reported encountering such errors sometimes, often, or even frequently. This consistent presence of inaccuracies points to the troubling reality that data quality gaps are becoming a routine part of daily operations rather than isolated incidents.

The consequences of these data quality issues can be severe. Businesses linked document data inaccuracies to a range of operational problems, including misguided forecasts, financial reporting errors, disputes with customers or suppliers, compliance issues, operational delays, and heightened risks of fraud. Many respondents characterized the impact of these inaccuracies as not merely inconvenient, but moderate to severe, highlighting the operational and financial peril posed by unreliable data.

Yet, as organizations ramp up their adoption of AI technologies across various business functions—fueling decisions in finance, operations, and customer service—the reliance on accurate data becomes even more critical. The data fueling these essential AI systems often originates from documents like invoices, contracts, and purchase orders. Errors in input data can stealthily deteriorate AI outputs and analytics, casting doubt on strategic decisions made under the assumption that data is trustworthy.

The Need for Data Accuracy Validation

Sylvestre Dupont, co-founder and CEO of Parseur, commented on the survey's implications, stating: "What this survey shows is a confidence illusion. Organizations believe their data is healthy, but persistent errors tell a different story. As companies rely more heavily on AI, data accuracy becomes foundational. That's why organizations need better support around how data is captured and validated at the point of entry."

The survey pinpointed key "danger zones" where document data inaccuracies are most prevalent. Invoices were identified as the most error-prone documents, with 21% of respondents highlighting them as sources of data inaccuracies. This was followed closely by purchase orders at 18%, and customer-related documents at 17%. Contracts, intake forms, and logistics documents were also flagged as frequent sources of errors, revealing that challenges related to data quality extend across various workflows beyond a single area.

Survey Methodology

Conducted in December 2025 in partnership with QuestionPro, this survey engaged a diverse pool of 500 professionals involved in document-centric workflows across sectors such as finance, technology, and healthcare. Predominantly, those polled included C-suite executives, directors, and managers, providing insights from leaders who understand the implications of data accuracy on their organizations' efficiency and success.

About Parseur

Moreover, the document processing platform Parseur specializes in helping businesses automate data extraction from documents without the need for coding. By utilizing this technology, companies reportedly reduce repetitive tasks, minimize human error, and expedite workflows across various domains such as operations and finance. Trusted by thousands of teams worldwide, Parseur aims to streamline complex document processes, ultimately increasing organizational productivity and efficiency. For more details, visit parseur.com.