A mid-size biotechnology company replaced manual table production with a reproducible pipeline, so a late data change no longer meant starting the whole cycle over.
The company produced the tables, listings, and figures for its studies largely by hand. Each reporting cycle took about six weeks. The work was careful, but it was fragile. A single late data change near the end of a cycle could send the team back to the beginning, rechecking output that had already been produced.
As the pipeline grew, so did the risk. Small inconsistencies between similar tables crept in, and tracing them took time the team did not have close to a database lock.
We rebuilt the reporting process as a pipeline that produces output the same way every time, with quality control carried through each step rather than bolted on at the end.
The team kept ownership throughout. We configured the pipeline to their standards and trained their programmers to extend and run it.
What used to take our programmers most of a month now reruns in an afternoon, and the quality checks come with it.
A reporting cycle that took six weeks now completes in about two days. The larger change is what happens when the data moves. Because the pipeline is reproducible, a late change means a rerun rather than a restart. The output regenerates, the checks repeat, and the result is ready again in a fraction of the time.
Consistency improved as well. Standard displays drawn from a shared catalog removed the small differences that used to appear between similar tables, which made review faster and questions fewer.
We can help you move to a reproducible pipeline without losing control of your output.
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