Running multiple HR systems puts data accuracy and consistency at risk.
Running multiple HR systems puts data accuracy and consistency at risk.
Disconnected systems force costly reporting work-arounds and duplicated effort.
A clear data map and deliberate data architecture keep multiple systems working for you.
Running multiple human resources systems is common in the middle market—and it is sometimes the right choice. The real risk isn’t having multiple systems; it’s the data silos that form when those systems don’t share information accurately. Whether you’re evaluating a new HR and payroll system or making the most of a legacy one, a true single source of truth is more elusive—and less common—than the vendor marketplace often suggests.
For many middle market companies with complex, specialized requirements, leading point solutions are genuinely the better choice. Yet a complex tech stack comes with a responsibility: keeping data consistent and accurate across every platform. When systems don’t connect, the gaps between them quietly become your team’s responsibility to manage. Understanding where those gaps form is the first step toward closing them.
Disconnected HR systems—also called fragmented or siloed—are tools that don’t share data automatically. Information lives in separate platforms that can’t see one another, leaving HR to move data by hand between an HR information system (HRIS) and the systems for payroll, benefits, time and attendance, recruiting, and performance.
The result is HR data silos: pockets of information trapped in individual systems, with no single, at-a-glance view of your workforce. Signs that your HR systems have become siloed include:
In these instances, the issue usually isn’t any single tool—it’s the absence of a deliberate plan for how data moves between them.
Four pitfalls show up most often among companies running multiple HR systems. Each arises from the same root cause: data that isn’t deliberately managed as it moves between platforms.
When key data elements live across separate point solutions, that data is vulnerable to becoming inconsistent or corrupt. One system shows an employee as active; another shows them on leave. A change made in payroll never reaches the personnel record. These mismatches lead organizations to make important decisions based on inaccurate information—and they compromise compliance and security.
A frequent frustration for HR teams without system integration is how hard it is to pull data out of information silos. Some systems are built for data entry, others for reporting—so when you need a high-level report or analysis, you can’t simply call up one integrated view. Tracking attrition, monitoring performance between reviews, and making fully informed hiring and training decisions all become harder. Teams fall back on work-arounds like spreadsheets, which cost time and money and quietly weigh on the bottom line.
When one system has a single point of entry and another must be maintained alongside it, controlling the timing of updates becomes a challenge. When will the second system be updated? How will the next person that opens it know whether they’re seeing current information? You end up with variance in update timing—weekly, monthly, hourly—and multiple systems that may or may not be accurate depending on when they were last refreshed. The data can look timely when it’s actually out of date.
Multiple systems can also introduce disparate coding. You might carry one job code in your HRIS and a different code for the same job in a point solution—which forces ongoing translation and mapping just to keep the data aligned. Building a comprehensive data map, along with a dependable process for updating equivalent values across analogous systems, is the key to avoiding this pitfall.
The steepest costs of fragmented HR systems are the ones that never appear as a line item. They accumulate quietly: hours of invisible labor spent reconciling and rekeying data; decisions made on reports that don’t align across departments; added compliance exposure when records don’t match; and a diminished employee experience when people juggle multiple logins for routine tasks.
The price of that disorder is real. Gartner estimates that poor data quality costs organizations an average of $12.9 million a year, and identifies inconsistency across sources—data stored and maintained in silos with overlaps and gaps—as the most challenging data quality problem. Gartner also found that 59% of organizations don’t measure data quality at all, which is part of why the cost stays hidden. The figure spans all enterprise data, not HR alone, but the mechanism is the same one HR teams live with every day. The point isn’t that multiple systems are wrong; it’s that the cost of not managing them is almost always higher than it first appears.
Whether to integrate or consolidate systems depends entirely on your requirements—there is no universally correct answer. Some organizations will only ever use leading systems for a few targeted functions—typically time and attendance, benefits, recruiting, and talent. If that’s your reality, it pays to map your end-to-end processes and design a more deliberate, streamlined data architecture so that the handoffs between systems are intentional rather than accidental.
From there, most companies weigh two paths:
Connect your existing tools so data flows automatically, and name the authoritative system for each data element. This preserves the strength of systems while reducing silos.
As vendors enhance their core HRIS platforms, they embed more functions into one system, which can reduce or eliminate integration challenges. Whether it’s the right move depends on your organization’s needs.
A mix is also common: consolidating core HR platforms while keeping a few targeted top-tier tools.
Effective management of multiple HR systems comes down to one discipline: making deliberate decisions about how data moves between them. Map your end-to-end processes, build a data map that names the authoritative system for each data element, and establish a dependable process for keeping equivalent values aligned. Do that, and specialized solutions stop being a liability and become a deliberate choice that serves your business.
If consolidation is the direction you choose, the next priority is to select the right system for your business and execute the new system implementation well.
Managing data across multiple platforms doesn’t have to feel daunting. RSM’s human capital management professionals take the time to understand how your business runs, then help you work through your HRIS challenges—determining whether a new comprehensive system is right for you or finding better ways to retrieve accurate data from the systems you already have. Contact our human capital consulting team to resolve persistent reporting and data entry problems and improve how your HR data flows.
Silos occur when employee information is trapped in separate systems that don’t share data automatically—recruiting in one tool, performance in another, payroll in a third—so no single system offers a complete, accurate view of the workforce.
Not necessarily. Top-tier point solutions are often the best way to meet specialized requirements. The risk isn’t having multiple systems; it’s failing to integrate them and manage data consistency across them.
Leading point solutions specialize in one function and do it exceptionally well. All-in-one platforms cover many functions in a single system, trading some specialized depth for unified data and fewer integration points.
Start by mapping your end-to-end HR processes and creating a data map that defines which system is authoritative for each data element. From there, either automate the integrations between tools or move toward a more consolidated platform—guided by your specific needs.