Businesses make critical decisions about people every day. They hire employees, credential healthcare workers, approve drivers, screen tenants, assess insurance applicants, and more. Every one of those decisions requires some level of trust, and that trust depends on what a business can know and verify about the person involved.
Yet the information behind these decisions rarely exists in one place. It is distributed across courts, licensing boards, motor vehicle departments, employers, educational institutions, government agencies, and private sources. Each operates under different systems, formats, update cycles, access methods, and jurisdictional requirements.
This fragmentation is often invisible to the person making the decision. It appears instead as another search, another fee, a manual follow-up, a delayed result, an unresolved discrepancy, or information that must be corrected after it has already entered a workflow.
Individually, these issues may seem manageable. At scale, their costs add up—both operationally and in their impact on decisions about people.
Accessing fragmented data means working across sources that operate in very different ways. Some can be reached through an API or online portal. Others require a scraper, phone call, email, fax, or in-person research. Their systems, fees, operating procedures, and availability can change independently, while requirements governing access and use vary by jurisdiction.
Those differences create work throughout the process. Requests need to be directed to the appropriate source, results tracked, formats reconciled, and exceptions identified for additional processing. When a source becomes unavailable or a record cannot be returned automatically, someone must determine what happens next.
Across thousands of transactions, the effects accumulate. Search and court fees multiply. Manual tasks consume operational capacity. Delays at individual sources affect turnaround times and the service levels businesses provide to their own customers.
Employment verification provides one illustration of how quickly that work can add up. A 2026 analysis of more than 200,000 employment verifications conducted for banks, mortgage lenders, and background screening companies found that approximately 65% required manual outreach rather than being resolved through an instant database. Completed verifications required a median of five touches, while 17% required 11 or more.
The full operational cost of fragmented people data therefore extends beyond the price of retrieving a record. It includes the technology, processes, compliance controls, and people required to maintain access and turn records from independently operated sources into information a business can use.
While operational complexity has measurable costs, fragmentation can have a more consequential effect: it can change the picture of the person on which a decision is based.
Having access to the available records is not enough. They must be connected to the right person, reflect the most current information, and, where applicable, be handled according to relevant reporting requirements. When those connections break down, information can be missed, incorrectly included, or presented without the context needed to understand what actually occurred.
A recent peer-reviewed study published in Criminology illustrates the potential consequences. Researchers compared official state records with private-sector background checks for 101 people who had at least one prior criminal charge. Among the regulated background checks, 60% of participants had at least one false-positive error (meaning information was incorrectly included), and 90% had at least one false-negative (meaning relevant history was missed).
While the study was limited to one state, the findings illustrate a broader problem. A record can be attributed to the wrong person, relevant history can be missed, or information can fail to reflect how a case was ultimately resolved. The records may exist, but the picture they create can still be incomplete or inaccurate.
That is why access alone is not enough. When the information can affect real decisions about people, fragmented records have to become information a business can reliably use.
Fragmentation is not going away. The organizations that hold people data will continue to operate different systems, follow different requirements, and make information available through different channels.
The answer, then, is not to eliminate those differences. It is to build infrastructure that can work across them—managing the complexity of accessing fragmented sources while making the information they provide more consistent and usable.
InformData is the network that connects businesses to verifiable people data, giving them access to thousands of independently operated sources through one API. The network is built to work across differences in source systems, formats, access methods, and jurisdictional requirements.
That means businesses can access the information they need without having to build and maintain an individual connection to every source. Behind those connections, records are matched across sources, then aggregated, normalized, and governed.
The result is more than access to more records. It is a way to turn fragmented sources into information that is more accessible, usable, and reliable at scale, backed by the compliance, security, quality, and operational discipline businesses need to rely on it.
Because businesses do not make decisions about records. They make decisions about people. The closer the data behind those decisions is to being verifiable, connected, and usable, the stronger the foundation for the products, workflows, and decisions that depend on it.