By department · Finance and control
A slow close is rarely about booking entries and usually about collecting: figures from four systems, combined by hand. Automate that part and the close moves to three to five days, with variances visible while the month is still running.
We automate the collecting and checking of the figures, record the definitions, and put variances in view while something can still be done about them.
The work itself is described under data quality, automation and business intelligence.
New Data Student is often the quickest win here: automate the manual work in the close, make the aging list actionable and let the recurring report run without someone rebuilding it every month. New Data Squad steps in on the question of which cash drivers actually exist and what the forecast should look like. New Data Search finds the business controller or financial analyst you want to hire permanently.
Almost always because of manual work sitting at the end instead of at the source: data moved across by hand, corrections that only surface during review, and a report reassembled every month. That can be brought down step by step, and the first half-day usually delivers the most.
Often it is. An aging list that only shows who is late is an overview; a list that shows who should be called, for what reason and by whom, is a work list. The difference sits in the underlying data, not in the total at the bottom.
The New Data Scan: one day on site, fixed price, and you end with a roadmap for 30, 60 and 90 days. In finance that is often the cheapest way to see which part of the lead time sits where.
These are indicative figures from earlier work and not a promise. What it delivers for you depends on where you are now.