Automation
How do we take the manual work out?
Automation takes the manual work out of recurring steps: merging files, preparing reports, retyping data. Less manual work means fewer mistakes and work that runs the same way every time. The time that frees up goes to the work that does deserve attention.
When do you need this?
Merging the same file every Monday morning is work a computer does better. Less manual work means fewer mistakes and more time for the work that deserves attention.
- Workflows without manual steps
- Fewer errors, more repeatability
- Time returned to substantive work
What happens if this is left alone
- Work a computer does in two minutes costs someone half a day every week, and that half day never comes back.
- Manual work is error-prone work. One column pasted wrong and the report is off, and that only shows up later.
- The knowledge of how it works sits in one head. If that person is ill or gone, the process stops.
Through which route do we deliver this?
The same field runs through different routes. Which one fits depends on the scope and duration of what is on the table.
Frequently asked questions
What would you automate first?
The step that returns every week, is always the same, and costs somebody an hour. That is almost never the most complicated part, which is exactly why it pays off immediately.
When is automating not wise?
When the process itself is still changing. Fixing a workflow that has to be different next month costs more than it returns. Let the process settle first, then lock it down.
What happens when it fails?
An automated step should raise an alert when it fails. Without that alert, silent failure is the real risk: it looks like it is running, but nothing comes through any more.
Who does this work?
Often a data student through New Data Student for the building, and Squad once the process crosses departments or hooks into an existing platform.
Are you a professional working in this field? Then have a look at the roles we fill and our vacancies.
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