REPORTING AND DATA — SOURCES · DEFINITIONS · DASHBOARD
REPORTING AND DATA
Numbers current as of this morning, with nobody's effort. One definition of margin for the whole company — and the option to ask about the rest in a plain sentence.
A REPORT IN MINUTES, NOT DAYS
Reporting is the most common place where AI actually pays back — because the problem isn't a shortage of data, it's that the data sits in three systems and nobody has time to assemble it. Below is the difference after a rollout.
- Exports from three systems, glued together in a spreadsheet, corrected by hand
- Numbers current as of last month, because sooner isn't possible
- An argument about which version of the report is true
- A question outside the report means another half-day of work
- One person knows how it all works, and that person takes holidays
- Data flows in by itself from the source systems
- Numbers current as of this morning, with nobody's effort
- One definition of margin, revenue and cost across the company
- You ask a question in plain language and get an answer
- The report survives holidays, because it doesn't live in anyone's head
WHAT AI DOES HERE, AND WHAT IT DOESN'T
Questions
in plain
language
The most practical use of AI in reporting: instead of clicking through filters or asking somebody for a breakdown, you ask „which jobs last quarter had a margin below ten per cent” and get an answer together with the table it came from.
The value isn't that this looks impressive. It is that questions nobody used to ask — because they weren't worth tying somebody up for half a day — start getting asked.
A signal
that something
is off
The model watches the pattern and flags deviations: a customer who normally orders every two weeks and has gone quiet for six; a job whose cost is rising faster than usual at this stage; a stock line moving twice as fast as normal.
That replaces scanning tables looking for something odd — an activity nobody performed regularly anyway.
AI will not fix data that is missing or contradictory. If the same customer exists in three systems under three names, the model will answer just as confidently and just as wrongly as a spreadsheet — only faster and in a nicer format, which is worse, because it is harder to challenge.
So we start by connecting the sources and agreeing one definition for every number. The dashboard is the end of that road, not the beginning — and it is usually the most inconvenient thing we say in a first meeting about reporting.
Reporting is one of four areas where we deliver AI — the rest are on AI delivery. If the data is scattered, the right first step is an IT audit.
FREQUENTLY ASKED
Do we need a data warehouse to start?
In a 20–200-person company, usually not. What is needed is a layer that regularly pulls data from the source systems and standardises the dictionaries — customers, products, cost categories. A full warehouse makes sense at much larger volumes.
More important than the technology is agreeing definitions. If sales and accounting calculate margin differently, no tool will settle that for you.
How long does it take to launch a dashboard?
A first working view usually takes 4 to 8 weeks, and most of that time goes into connecting sources and agreeing definitions rather than drawing charts.
We start with the handful of metrics somebody genuinely looks at every week. A dashboard with forty tiles looks impressive in a presentation and goes unused within a month.
Can AI get the numbers wrong?
It can, and the risk is real — which is why answers are shown together with the source data behind them. The numbers come from a query against the database, not from the model: AI is responsible for understanding the question and shaping the answer, not for the arithmetic.
That split matters. Solutions where the model „remembers” the data and answers from memory can produce a figure that is convincing and untrue.
WE REPLY WITHIN 24 HOURS
LET'S START WITH A TALK
A free 30-minute consultation. No commitment and no sales rep — you talk to the person who will run your project.
JET LARK SP. Z O.O.
3 MAJA 22 / 2C
40-096 KATOWICE, POLAND
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