Accounting analytics

Ledger data records far more than balances. Every line carries a date and time, a user, a source and a description, so the ledger can be analysed for entries that don't look like the rest. Auditors are required by the auditing standard on fraud (ISA 240) to test the appropriateness of journal entries, because management override of controls usually shows up there; finance teams use the same techniques to find errors before anyone else does.

Start with a validated population. Analytics on an incomplete export gives false comfort, so first reconcile the file to the trial balance, as in the GL export lesson.

Common journal-entry tests - Timing — posted at weekends or public holidays, outside working hours, or in the days just before and after period end. Use the entity's own working week and local time: Juniper's weekend is Friday and Saturday, and many systems store timestamps in UTC. - Users — manual journals by people who don't normally post (senior executives, IT administrators), by generic or system accounts used manually, or by leavers. - Accounts — unusual combinations: manual entries to revenue, cash or sub-ledger control accounts; entries to rarely used accounts; debits to revenue at period start that reverse period-end credits. - Amounts — round sums, amounts just below an approval limit, and unusually large entries for the account. - Descriptions — blank or vague ("adj", "correction", "per CFO"). - Duplicates — the same supplier, invoice reference and amount on more than one entry. - Reversals — entries reversed soon after period end, which can mean results were dressed up for the reporting date.

Trend analysis compares the current period with history and expectations: monthly revenue, gross margin, expense lines by cost centre, accruals as a share of costs. A margin that jumps for no business reason often points straight at a journal.

Flags are questions, not conclusions. Each test produces false positives — a round, recurring rent release is fine. Score and prioritise items with several flags, obtain support and explanations, record the outcome for each item, and extend testing if you find a real problem (other periods, the same user, similar entries).