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  4. A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking
 
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2019
Conference Paper
Title

A Hybrid AI Tool to Extract Key Performance Indicators from Financial Reports for Benchmarking

Abstract
We present a tool that enables benchmarking of companies by means of automatic extraction of key performance indicators from publicly available financial reports. Our tool monitors companies of interest so that their reports are automatically downloaded as soon as they become available. After tables and paragraphs have been extracted from the documents using a table detection module based on convolutional neural networks, relevant key performance indicators are stored in a central database. The extracted values are finally displayed in a user-friendly web application where the user can compare time series of key performance indicators against arbitrary available companies.
Author(s)
Brito, Eduardo
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Sifa, Rafet  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Bauckhage, Christian  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Loitz, Rüdiger
PricewaterhouseCoopers GmbH
Lohmeier, Uwe
PricewaterhouseCoopers GmbH
Pünt, Christin
PricewaterhouseCoopers GmbH
Mainwork
DocEng 2019, 19th ACM Symposium on Document Engineering. Proceedings  
Conference
Symposium on Document Engineering (DocEng) 2019  
DOI
10.1145/3342558.3345420
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Keyword(s)
  • document analysis

  • visualization

  • information extraction

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