Case Study: Zendesk achieves faster, more accurate monthly closes and major time savings with BlackLine Transaction Matching

Achieving Operation Simplicity and Data Accuracy

San Francisco-based Zendesk faced a classic scaling problem: after going public in 2014 the company grew quickly (to roughly 94,000 paid customers, ~1,600 employees and $300M+ in revenue) while its accounting team relied on manual, time-consuming “tick-and-tie” reconciliations. The surge in transaction volume and planned additions to its cloud application stack made the monthly close slow and labor intensive.

Zendesk implemented BlackLine Transaction Matching to automatically compare transactions across bank, GL and other systems, import legacy spreadsheets, and apply rules, filters and workflows for suggestion and exception handling. The solution runs daily, links matches to account reconciliations and automated journal entries, and scales to millions of transactions—significantly cutting reconciliation time and errors, freeing accountants to resolve exceptions, and enabling faster, more accurate month‑end and daily cash reporting.

Zendesk

Patrick Loughnane

Senior Financial Systems Analyst