Find the sources
Every place a number lives, who owns it, and how reliable it is.
Specific jobs, done properly, with a person checking the output.
Every place a number lives, who owns it, and how reliable it is.
Pull it together automatically, agree what each figure means, and fix the joins.
The recurring ones, on a schedule, checked by a human before they go out.
A way for management to ask questions of the data and see where the answer came from.
Margins by product, customer and channel, so decisions are made on the real picture.
Deciding what the numbers mean and what to do about them. Data should start a conversation, not end one.
In your words. The thing that wastes time, loses money or drives you up the wall.
I sit with the people doing the work and map it as it really happens, not as the org chart says.
Judgement, relationships and taste stay human. Copying, chasing and compiling don't.
Built with a human checking the output, measured against the before, and handed over so your team can run it.
Turned a tourism website into an intelligent visitor platform: ask it for a dog-friendly lunch near the waterfront tomorrow and it answers from what is actually open.
Connected marketing, commercial and operational data so management can ask questions rather than compile reports.
If people trust it and use it, you probably don't. Usually the problem is that it doesn't agree with finance, or that it needs a person to update it.
Most accounting, CRM, e-commerce, marketing and booking systems have a way in. Where they don't, there's usually an export that can be automated.
Sometimes, often not. It depends on how much data you have and how many places it lives. I'll recommend the smallest thing that works.
Three minutes, no email needed to see the answer. The audit adds up the hours your team spends on jobs a machine could do, and shows what that costs.