The reports your team stopped running because they take too long

Slow SAP is a code problem wearing an infrastructure costume

When a report takes forty minutes, the first instinct is to look at the hardware. Sometimes that is right. Far more often the report is doing something that no amount of hardware fixes: reading a full table to find nine rows, running a database call inside a loop that executes ten thousand times, pulling data into ABAP to aggregate it when the database could have aggregated it and returned a number.

Those patterns were reasonable when they were written. On a row store with the data volumes of the time, they performed acceptably. On HANA they are actively wasteful, because the whole point of a column store is that it will do that work for you, faster, if you let it.

Why this survives migration

A technical conversion to S/4HANA does not rewrite your custom code. It makes it run. Organisations that move expecting a performance transformation often get a modest one, and then wonder why the platform they were told was orders of magnitude faster produced a twenty percent improvement.

The answer is that the platform is that much faster, and the code is still asking it to behave like the old one. The gains in the case studies on this site did not come from the migration. They came from changing what the code asks the database to do.

What the agents look for

Agents analyse custom code together with actual runtime statistics, which matters, because the slowest program is not always the expensive one. A report that takes two minutes and runs every fifteen minutes costs your system more than one that takes an hour and runs monthly.

They identify database calls inside loops, full-table scans where a filtered read would serve, aggregation and sorting performed in ABAP that belongs in the database, redundant reads of data already in memory, missing or unusable index paths, and sequential logic that could run in parallel. Then they produce the rewrite, ranked by measured impact rather than by how bad the code looks.

Functional parity is non-negotiable

A faster report that returns different numbers is not an improvement, it is an incident. Every optimization is paired with evidence: the same inputs through the old and new code, outputs compared row by row. Where a difference appears, it is investigated before anything moves, because occasionally the old code was wrong and the business has been reconciling around it for years.

An SAP architect reviews every change. Agents are good at recognising a pattern. They do not know that this particular full-table read exists because a batch job three systems away depends on the side effect.

What it is worth

The obvious value is time. The larger value is the work that comes back. Every SAP estate has reports people stopped running, reconciliations moved to month-end because they could not be done weekly, and batch windows that constrain when the business can operate. Those constraints get absorbed into how people work, and they stop being visible as costs.

When a forty-minute report becomes a two-minute one, it is not just thirty-eight minutes saved. It is a report someone will now actually run.