Automated
- Data preparationPull and organize the defined inputs.
- Calculations & checksApply the same rules each cycle.
- Draft generationPrepare the report, dashboard or presentation.
- Run history & recoveryRecord what ran and where to resume.
Reporting Automation
I automate the preparation of recurring marketing reports: data, calculations, quality checks and the draft follow the same rules every cycle. In one workflow I automated, preparation went from days to minutes; review and approval remain human work.
01 / The boundary
I automate the repetitive preparation. Anything that requires judgment is not delegated to the workflow.
A workflow I automated
In one reporting workflow I automated, operational report preparation went from about four days to about ten minutes.The figure measures preparation time, not analysis or approval. It is one case, not a general rule.
02 / Try it
From source checks to a review-ready draft. See what happens when a required source arrives incomplete, too.
Paid Media / June 2026
Choose an example. The workflow checks sources, applies controls and prepares a version for review.
Simulation using synthetic June 2026 data. No live accounts are connected. Demo timing is illustrative.
03 / What I build
Not just the report, but the documented process that prepares the next cycle.
Recurring preparation steps, calculations and dependencies, documented and automated.
Coverage, freshness and validation rules that identify when a run can continue, stop or resume.
A dashboard, report or presentation with consistent definitions and a visible version.
Execution records, recovery instructions and documentation for operating the workflow.
04 / How I build it
A clear process. No black box.
I set the sources, period, calculations, output and what still requires human review.
I document access, time zone, cutoff dates, attribution windows, owners and validation criteria. I automate one report at a time and extend the workflow once the first is stable.
I build the extraction, validation, calculation and draft-generation steps with Python, SQL and BigQuery.
Temporary failures can be retried. Missing or malformed required inputs stop affected outputs and create a visible issue. Credentials are managed outside the report.
I test normal runs and failures, and document how to recover and operate the workflow.
I reconcile against a reference cycle and test incomplete inputs and repeated runs without duplicate delivery. Each workflow has named owners for review, recovery and later changes.
05 / Technical questions
The workflow defines which outputs can continue and which must wait. An incomplete required source stops the affected outputs and raises a visible issue; it never becomes an apparently valid report.
Each run is identified by report, period and version. Running the same cycle again preserves the existing draft instead of creating another delivery.
From the last valid checkpoint. Completed steps are recorded, so fixing a source does not mean repeating the whole cycle.
No. The workflow prepares and validates the draft. Interpretation, exceptions and final approval remain human.
Its inputs, rules and format are defined and repeat every cycle. Dashboards, recurring spreadsheets and presentation decks usually qualify; ad hoc analysis does not.
Definitions are documented once and applied the same way every cycle: cutoff date, time zone, attribution windows and formulas. When a definition changes, the change is explicit and versioned.
In short
Working on recurring reporting and want to compare approaches? Message me.