[EuroPython 2023 — South Hall 2B on 2023-07-20] https://ep2023.europython.eu/session/solving-data-problems-in-management-accounting Controllers deal with numbers all day long. They have to check a lot of data from different sources. Often the reports contain erroneous or missing data. Identifying outliers and suspicious data is time-consuming. This presentation will introduce a Small Data Problem-End2End workflow using statistical tools and machine learning to make controllers' jobs easier and help them be more productive. We will demonstrate how we used amongst others, - [scipy](https://scipy.org/) - [pandera](https://pandera.readthedocs.io/en/stable/) - [dirty cat](https://dirty-cat.github.io/stable/) - [nltk](https://www.nltk.org/) - [fastnumbers](https://pypi.org/project/fastnumbers/) to create a self-improving system to automate the screening of reports and report outliers in advance so that they can be eliminated more quickly. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License http://creativecommons.org/licenses/by-nc-sa/4.0/