4 Employees, 4 Methods, 1 Big Problem

By: Jeff Heybruck

In this month’s post on Bad Data we discuss how some of the biggest bookkeeping problems aren’t caused by one big mistake. They’re caused by dozens of small decisions, made by different people, on different days, without anyone agreeing on the rules first.

That’s rogue data entry. It isn’t fraud, and it isn’t always laziness. It’s what happens when the people entering financial data make reasonable, individual judgment calls, and nobody notices that those judgment calls don’t match each other.

Each entry might look fine on its own. The problem shows up later, when someone tries to pull a report and realizes the numbers don’t actually roll up the way they should.

The Same Company, Five Different Names

One of the most common versions of this: the same vendor or customer gets entered differently depending on who’s typing it in. Let’s pick on our favorite homebuilder entering bills for their hypothetical electrical subcontractor.

One entry says “Ferguson Electric.” Another says “Ferguson Electric LLC.” A third says “Ferguson Electric, Inc.” A fourth is just “Ferguson,” a fifth is “F.E.I.” To a person, these are obviously the same company. To accounting software, they’re four separate entities, which means four separate transaction histories that never combine into one clear picture.

Multiply that across every vendor, every customer, every job site, and a report that’s supposed to show “total spend with Ferguson Electric” quietly becomes wrong, not because anyone made an error, but because nobody set a naming standard and enforced it.

IT professionals and database architects call this “data integrity.” And they take it quite seriously. It doesn’t take long for that last “Ferguson” entry to get confused with “Ferguson Plumbing Supply,” and the problem metastasizes.

Similarly, we have clients with expenditures that may get reported in different places. In the real estate world, some costs are capitalized (Balance Sheet) and others are expensed (Income Statement). Expenses can share similar or even the same name, but if the person doing the data entry isn’t paying attention, these costs often end up in the wrong bucket. This results in inaccurate financial reports and a scavenger hunt for whoever is doing the review and corrections.

Assumptions Made Before the Entry, Not During It

This one is harder to catch because it doesn’t show up as a mistake in the software. It happens before the software is even opened.

Someone estimates a job’s material cost in their head instead of pulling the actual invoice. Someone rounds a number because they’re confident it’s “close enough.” Someone splits an expense between two categories based on a guess about how it was used, rather than checking. The entry itself is clean and properly formatted. The number behind it was never verified.

This is dangerous precisely because it looks like good data. There’s no red flag, no obviously wrong figure. The books simply reflect what someone assumed to be true at the time, and that assumption becomes permanent the moment it’s saved.

We see this most often with clients using estimating and project management software. When we ask if they are doing job costing, the answer is almost always yes. Some really are doing job costing within their accounting software. But the majority are “job costing” in the project management tool. They may be recording POs and employee time in there, but it’s not synced with the accounting software to reflect the actual spend. Using POs doesn’t reflect the exact amount the company was charged. Using a labor burden rate times the number of hours doesn’t reflect if overtime was paid on the job. And most times these software tools are missing incidentals like fuel, miscellaneous charges at Home Depot, and supplies. The margins shown “in the app” are almost always higher than what the accounting software shows.

They may even be proud of their creative solution, not realizing the downstream effects.

Other Common Ways the Rules Get Made Up Along the Way

• Inconsistent categorization. One person codes a purchase as “Office Supplies,” another codes the same type of purchase as “Miscellaneous,” and a third creates a brand-new category because they didn’t know one already existed.
• Free-text fields used as a workaround. Rather than using the correct dropdown or class code, someone types a note into a memo field, where it never gets pulled into reporting at all.
• Duplicate entries. Two people enter the same invoice because neither checked whether it was already in the system, and now the expense is counted twice. QuickBooks can catch a lot of these if used correctly, by entering the bill number. But many clients don’t use the A/P feature, or they enter the bill number in the memo section (a free-text field), inadvertently circumventing a really useful feature built into their accounting software.
• Personal shortcuts. A team member develops their own private system, maybe a spreadsheet on the side, or a shorthand only they understand, because it’s faster than doing it the “official” way. It works fine until they’re out sick or leave the company.
• Unrecorded manual adjustments. Someone corrects a number directly in a report or spreadsheet without noting why, so the correction isn’t reflected anywhere the next person can see it.

None of these come from bad intentions. They come from a system that never clearly defined the rules, so each person quietly built their own. It’s worth understanding that the employee was likely motivated by getting their job done quickly and feels like they solved a problem. They may even be proud of their creative solution, not realizing the downstream effects.

Why This Is a Bigger Problem Than It Looks

A single mislabeled transaction isn’t going to break the business. But rogue data entry is rarely a single transaction. It’s a pattern that compounds over months and years, until pulling an accurate report requires cleanup work before anyone can trust what it says.

By the time an owner notices, they’re not just fixing a report. They’re rebuilding confidence in every number that came before it.

The Fix Isn’t Stricter People, It’s a Clearer System

The answer isn’t to blame the team for inconsistency. Most of the time, they were never given a standard to follow in the first place.

What actually solves this is a documented, agreed-upon process: standardized vendor and customer names, defined categories that everyone uses the same way, a clear rule that assumptions get verified against source documents, and a habit of checking for existing entries before creating new ones. Combined with a culture of “when in doubt, ask” that encourages employees to flag potential rogue data entries before they’re made, companies can stamp out the majority of these issues.

If your reports have ever looked “off” without an obvious reason, rogue data entry is a common, quiet culprit. Lucrum can help you find where the rules broke down and put a system in place that keeps your numbers consistent, no matter who’s doing the entering, so you can have Confidence in the Numbers.