How do I run an accounts receivable (AR) aging analysis with iDBQuery?

An accounts receivable aging report groups the money customers owe you by how overdue it is, so you can chase the riskiest balances first. iDBQuery builds it from your ledger in seconds instead of a manual monthly spreadsheet.

• You'd ask iDBQuery: 'Produce an AR aging report by customer, bucketed current, 1-30, 31-60, 61-90, and 90-plus days past due, with totals per bucket.'
• It ages each open invoice against its due date, sums by bucket and customer, and returns a stacked chart plus a detailed table.
• Every balance is cited to its source invoices, so 'this customer owes £22k over 90 days' drills straight to the unpaid invoices.

Because it is live, the report is current every time you open it, unlike a snapshot export. Ask follow-ups like 'Who are the ten worst 90-plus-day accounts and their contact owner?' and iDBQuery keeps the thread. If invoices live in an accounting system and customer details in a CRM, the one live model joins them so the collections list is actionable. Save it as a shareable report for the finance and collections teams, and let the Analyst agent flag customers whose overdue balance is growing month over month, with the invoice rows that prove it. This directly supports cash-flow planning and DSO tracking.