Month-end close took 11 days. The CEO saw last month's numbers on the 15th.
Month-end close takes 11 days. Production output lives in the shift log; timesheets are on paper. Every department sends its own spreadsheet, someone merges them, and the numbers do not match. The CEO sees last month's picture on the 15th — far too late to intervene.
He opens the dashboard in the morning. He types his question. He gets his answer. Production is entered from a tablet, timesheets from a screen. Month-end close becomes a formality — because the numbers are already current every day.
“Revenue is above target at 104.6% — but overdue receivables are at 58.9%. Target is 35% or below. There is ₺14.9M at risk in the 90+ day bucket.”
“28.8% of your purchases come from a single supplier. One disruption there stops production entirely.”
“August is the only loss-making month of the year. Revenue fell while fixed costs stayed the same.”
Every one of them is a sentence. ATLAS does not hand you 40 pages of tables; it tells you the three things you need to look at. You ask for the rest if you want it.
The screens below are real ATLAS output produced from PÜRSU data. Every dashboard carries a target vs. actual comparison and status labels (On Target / Watch / Off Target).
The screenshots are from the live Turkish deployment, so the dashboard labels appear in Turkish. The interface is available in English as well.