Two decades of taking over SAP finance processes from in-house teams produces an unusual dataset: the same SAP finance mistakes, encountered again and again across industries and geographies. None of them are system defects. They are process and configuration habits that accumulate quietly over years — and every one of them is detectable with a simple check and fixable without a reimplementation. This article walks through the six we meet most often, framed as the questions clients ask, so you can run the diagnosis in your own environment.
Quick answer: The most common SAP finance problems are dirty vendor master data, tolerance limits widened until the three-way match stops matching, open items left to age, manual journals doing work SAP could automate, authorisations accumulated over years, and a close that runs on tribal knowledge instead of a calendar.
Mistake 1: A three-way match that catches nothing
The pattern: implementation sets sensible tolerance limits; over the years, every recurring mismatch is “solved” by widening a tolerance or exempting a vendor; a decade later the control exists on paper and passes no judgement in practice. These SAP three-way match problems can weaken one of the core controls within the procure-to-pay process. SAP provides configurable tolerance functionality for handling invoice differences.
The check: pull your tolerance key settings and the share of invoices posting without a purchase order reference — if a large fraction of spend bypasses the match, the control is decorative.
The fix: re baseline tolerances to materiality, push non-PO spend into PO channels, and route genuine exceptions to workflow instead of widening the gate.
Mistake 2: A vendor master full of duplicates
Duplicate vendors split spend history, defeat duplicate-invoice checks (the same invoice posts cleanly against two vendor numbers), and multiply the attack surface for bank-detail fraud. The usual cause: no gatekeeping on creation, so every urgent payment spawned a new record.
The check: count active vendors against vendors actually used in the last two years, and search for near-identical names with different bank details.
The fix: a cleansing exercise (block, merge, archive), then a controlled creation process — one team, mandatory duplicate check, independent verification of bank details, and callbacks for any bank-detail change request. SAP also provides functions for maintaining, blocking and managing supplier/vendor master records.
Mistake 3: A ten-day close
Almost always, the close runs on people rather than a calendar: tasks live in the heads of long-tenured staff, dependencies are discovered rather than planned, and month-end reconstructs what should have stayed clean all month. The second culprit is manual journal volume — recurring entries, accruals, and allocations keyed by hand when SAP’s recurring entry and accrual engine could post them automatically.
The check: count last month’s manual journals and ask how many are identical to the month before; ask three people for the close task list and compare answers.
The fix: a documented close calendar with owners and cut-off times, automation of every genuinely recurring entry, and continuous reconciliation through the month.
Mistake 4: Aged open items that keep growing
Un-cleared GR/IR balances, customer payments parked on account, un-reconciled bank items — each individually small, collectively an audit finding. SAP will carry an open item forever without complaint; the discipline must come from the process.
The check: age your GR/IR account and customers’ on-account postings; anything past 90 days without an explanation is the symptom.
The fix: clearing ownership by account, ageing thresholds that trigger escalation, and SAP’s automatic clearing for rule-based cases so human attention goes to genuine exceptions.
Mistake 5: Authorisation creep
The absence of an incident is not evidence of control. Authorisations accumulate as people change roles, “temporary” go-live access is never revoked, and eventually a handful of users can create a vendor, post an invoice, and run a payment. Audits usually find it before management does.
The check: run a segregation-of-duties analysis across finance roles and count users holding critical combinations. SAP describes segregation of duties as a way of distributing responsibility through appropriate access rights to reduce the risk of errors and fraud. Learn more about SAP segregation of duties.
The fix: role redesign around task bundles rather than people, periodic access recertification, and logged emergency access instead of standing broad rights.
Mistake 6: Excel as the real books
When cost centre hierarchies drift, profit centre assignments go missing, and document types are used inconsistently, SAP’s reports look untrustworthy — so the organisation retreats to spreadsheets, which quietly become the actual books, unreconciled to the system.
The check: ask which figures in the CFO pack come from SAP directly and which are “adjusted” in Excel; every adjustment marks a data problem.
The fix: repair the master data hierarchies, standardise document types and posting logic, and retire the parallel spreadsheets deliberately — one report at a time, once its SAP source is trusted. Organisations facing this issue may also benefit from examining whether they are getting the full value from their SAP investment.
Key takeaways
None of these problems require reimplementation; all of them are process and data fixes inside a capable system. The three-way match and the vendor master are where fraud exposure lives — check those first. Manual journal count and close-calendar discipline predict close duration better than the system version does. A structured outsourcing transition surfaces every one of these issues automatically — documentation, testing, and data migration function as the diagnostic most organisations have postponed for years.
Frequently asked questions
Do these problems mean we need to reimplement SAP? Almost never. Reimplementation transplants the same habits into a newer environment at great expense. The economical path is cleaning master data, re-arming controls, documenting and automating the close, and assigning ownership per account.
How long does fixing them take? Master data cleansing and control re-baselining are typically measured in weeks to a few months; close redesign shows results within two to three cycles. The constraint is ownership and follow-through, not technology.
Can we run these checks ourselves? Yes — every check above uses standard SAP reports and settings your team or internal audit can access. The value of an external operations team is having seen the patterns and fixes often enough to move fast.
Conclusion
If your SAP finance function feels slower or less reliable than the platform’s reputation promises, the odds are high that one or more of these six habits is the cause — and equally high that the fix is operational, not technological. Run the checks; the diagnosis costs an afternoon.
Recognise your own system in this list? Infomate, a John Keells Group company, has run SAP finance and accounting processes for clients across four continents for two decades, with Six Sigma-based process discipline and ISO 27001-certified information security. Talk to us at www.infomateworld.com