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UID:pretalx-europython-2023-DT9HXE@programme.europython.eu
DTSTART;TZID=CET:20230720T140000
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DESCRIPTION: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-consumin
 g. \n\nThis presentation will introduce a Small Data Problem-End2End workf
 low using statistical tools and machine learning to make controllers' jobs
  easier and help them be more productive.\n\nWe will demonstrate how we us
 ed amongst others\, \n- [scipy](https://scipy.org/)\n- [pandera](https://p
 andera.readthedocs.io/en/stable/)\n- [dirty cat](https://dirty-cat.github.
 io/stable/)\n- [nltk](https://www.nltk.org/)\n- [fastnumbers](https://pypi
 .org/project/fastnumbers/)\nto create a self-improving system to automate 
 the screening of reports and report outliers in advance so that they can b
 e eliminated more quickly.
DTSTAMP:20260518T003836Z
LOCATION:South Hall 2B
SUMMARY:Solving Data Problems in Management Accounting - Alexander CS Hendo
 rf\, Lucas-Raphael Müller
URL:https://programme.europython.eu/europython-2023/talk/DT9HXE/
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