Monthly sales, stock levels or a management summary usually begin with one person who knows which query to run, where to paste the result, and which cells to adjust. It takes an afternoon every month and goes wrong the first time someone else has to do it. A report that has to be produced repeatedly should be produced by a system.
The three parts of an automated report
- A trusted dataset: a query or pipeline whose output you have already checked against known numbers.
- A template: the layout (header, tables, totals, logo, language) designed once.
- A destination: where the finished file goes without anyone attaching it by hand, such as email to a list or a shared folder.
Step 1: make the data repeatable
Write the data logic as a saved query or pipeline with an explicit date range. Avoid hard-coded dates. A monthly report should say "the previous calendar month", and compute that rather than relying on someone to edit a cell.
-- previous calendar month
WHERE created_at >= date_trunc('month', CURRENT_DATE) - INTERVAL '1 month'
AND created_at < date_trunc('month', CURRENT_DATE)Step 2: design the template once
Decide who reads the report and in what format. Executives often want a short PDF; analysts want Excel so they can filter. Define the header, the columns, the number formats and the totals once. If the report goes to several customers or branches, plan how to split it so each recipient gets only their own data.
Step 3: choose how it is delivered
Email to a list is the simplest. A shared folder, SFTP or object storage suits reports that other systems pick up. Whatever you choose, make sure a failed run is visible: a report that silently did not arrive is worse than one that was late and known to be late.
Step 4: reconcile before you retire the manual process
Run the automated version next to the manual one for at least one full cycle and compare totals. Differences are almost always definitions: whether cancelled orders count, which time zone a day ends in, how refunds are dated. Write the answers down in the report notes so the next reader does not have to ask.
Pitfalls
- Hard-coded dates that quietly produce last year's report.
- No run history, so nobody can say which data window a past report covered.
- A recipient list that includes people who have left.
- Sending sensitive data to a shared mailbox.
In Ruamhub
Ruamhub has report templates for PDF, Excel, Word and email, which you design in the browser and connect to the output of a pipeline. Pipelines can run on a schedule, keep a run history, and deliver the result by email and to the destinations you configure. The template types and destinations available depend on your plan; see the reports feature page for details.