Data processing automation means connecting your sources, your rules and your destination so data flows and fills itself in, with no manual copy-paste. We pull information from spreadsheets, forms, emails and systems, process it by your rules, and write it back wherever it needs to go. We do this for companies drowning in repetitive data entry and checking. The result: the team stops retyping, and a process that used to take hours runs in the background.
What is data processing automation?
It's a process where data moves from source to destination on its own, transformed along the way by the rules you set. Instead of an employee retyping line items from an email into a spreadsheet and checking them by hand, a workflow does it. A person steps in where a decision is needed, not where there's copy-paste to do.
The data typically worth automating: line items from spreadsheets and forms, content from emails, CRM records, data pulled from external sources over an API. We connect what you already have and add rules that keep the quality in check.
What does a rollout look like step by step?
We start with the process, not the tool. First we find where time actually leaks and which steps someone repeats by hand. Only then do we design the automation. It comes from a simple observation: the average small-business owner loses more than 21 hours a month to tasks that could be handed to a machine.
- Process audit - what you process by hand, from where, and how often.
- Data map - the sources, the processing rules, the destination.
- Building the workflow and the quality-control rules.
- Testing on real data before anything goes to production.
- Support after launch, and fixes when a source changes.
How much time comes back after data processing automation?
As much as manual retyping and checking eats today. With repetitive data that's usually 15-20 hours a month coming back to the team. The more line items there are and the more often they repeat, the bigger the return.
For Polsat Media we automated the schedule's data processing: the workflow reads the title from a spreadsheet and fills in the artwork on its own, across more than 100 channels. Picking one item dropped from about 10 minutes to seconds. The full story is in the Polsat Media case study.
“Thanks, gentlemen - this will speed up our ad sales team's work significantly.”
Polsat Media, Marketing Director
When is data processing automation NOT worth it?
When there's little data and you do it rarely. If you process a handful of line items once a month and it takes 10 minutes, automation won't earn its keep. We say so outright, even when it means turning down the work.
Automation pays off with repetition and scale: data comes in daily or many times a day, the items number in the hundreds, and a manual slip costs money. If that's you, the return comes fast.
Who is it for, and what does it cost?
For companies of 5-50 people that retype data between spreadsheets, emails and systems. Accounting firms, e-commerce, services, media. One process tied together with a workflow starts at $1,000, and the first automation is live in 7-14 days.
- Essential ($1,000): one process, tool integration, 30 days of support.
- Professional: up to 3 processes, integrations, analytics, 90 days of support.
- Premium: unlimited processes and integrations, 6 months of support.
The full package scope is on the pricing page. If your data comes in from many systems, start with our guide on IT systems integration.
What happens after you reach out?
First a short audit, then a process map and a quote. No strings, no pushiness. On the first call we'll tell you whether the process is even worth automating.
Book a free consultation on our contact page.