Where the hours go
Exporting from each platform. Normalizing date ranges that do not align. Reconciling three different definitions of a conversion. Building the deck. Writing the narrative. Fixing the one number someone questions. Across teams, four to five hours per report is typical, and reports are weekly or monthly per account.
At scale that is well into six figures of annual analyst time producing a document, not an insight.
The accuracy problem
Manual assembly introduces error in ways that are hard to catch: a stale export, a filter left applied, a date range off by a day, a formula that did not extend to a new row. These errors survive because nobody recomputes the previous month to check.
Automated pipelines make different mistakes, but they make them consistently, which means they are findable.
What to automate first
Not the narrative — the collection. Get every channel into one table with one date convention and one conversion definition. That single step removes most of the four and a half hours and nearly all of the error.
Then automate the standard views. Leave the interpretation to a person; it is the only part that requires one.
What clients actually want
Not more data, sooner. They want to know whether it is working, what changed, and what you are doing about it. A one-page answer delivered on the second of the month beats a forty-page deck on the fifteenth.
Automation is what makes the second of the month possible.