What is spreadsheets, tidying data and reports?

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Data processing, spreadsheets, databases and analytics

Most SMEs run on a fragile Excel and CSV spaghetti: exports from the webshop, invoicing tool, CRM and bank are copied, cleaned and VLOOKUP-ed by hand for hours, and someone tries to conjure a management report on Sunday night. AI data ops automates intake, cleaning and cross-system sync, and lets managers talk to their own data in plain Hungarian.

New to this? Start herespreadsheets, tidying data and reportsThis is what happens to your spreadsheets and lists: a program tidies up and merges the files somebody now copies together by hand, answers questions about your own numbers in plain Hungarian, and writes the weekly summary on its own.

How it runs, in three steps

1The files come in as they are: exports from the webshop, the invoicing tool and the bank, plus five to ten supplier price lists, each one in a different shape.
2The program repairs the broken accented letters and the three different phone number formats, recognises that “Kovács és Társa Kft.” and “Kovacs es Tarsa Kft” are the same partner, merges everything into one list, and compares the new prices with the old ones.
3You get a tidy table, a plain answer to a question you typed in everyday words, and a Monday morning summary written in sentences; every number can be traced back to the file it came from.

A Tuesday morning todayTuesday morning goes on merging four exported files in a spreadsheet, and that the supplier put the price of copper pipe up by fifteen percent only comes out weeks later, once four products have been sold at a loss.

The same morning, automatedTuesday morning the merged table was ready by seven with a warning that copper pipe went up fifteen percent and four products would now sell at a loss, and the question “which customers have not ordered for sixty days” is answered in ten seconds.

Worth it when: It pays off first where the numbers sit in several systems at once, in webshops, wholesalers and anyone juggling many supplier price lists, and where somebody now spends half a day a week in spreadsheets. It only works if the data exists somewhere at all: from figures nobody ever recorded, nothing can be worked out.

Anomaly guard reacts within hours: e.g. cart abandonment jumping from 45% to 88% because the card gateway broke
Every Monday 7:00 the full analysis runs across finance, marketing, stock and sales with zero manual minutes

Recipes in this category

Recommended stack

Role	Tools	Why
Code-generating and analysis AI	Claude, code-interpreter models	Flawless Python, SQL and pandas; charts
Warehouse and database	Supabase (PostgreSQL), DuckDB, Airtable	Fast relational storage, real-time sync, API and webhook support
Data movement and ETL	n8n, Make, Airbyte	Connects dozens of tools and formats: CSV, XLSX, XML, JSON
Dashboards and BI	Metabase, Google Looker Studio, Streamlit	Live KPI dashboards on a real data connection
Document and report generation	APITemplate.io, Placid, WeasyPrint	Branded weekly executive PDFs

Source: AI Automation Market Report and Practical Guide (2025–2026)

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Data processing, spreadsheets, databases and analytics

Autonomous data cleaning, normalisation and deduplication

Supplier price-list and catalogue harmoniser

Natural-language database and Excel search (text-to-SQL)

Cross-system ETL and central data warehouse

Real-time anomaly detection and business alarm (AI anomaly guard)

Self-generating weekly and monthly executive reports

Predictive modelling: LTV and churn prediction