Harnessing the power of data and event data for Business Process Improvement
Résumé
Faced with a competitive and a continuous changing environment, traditional approaches that treat a company as a closed environment are no longer appropriate. To overcome this problem of isolation and non-communication, organizations tend to increasingly use Business Process Management-BPM. Recently with the rise of new technologies such as of big data, Internet of things, Cloud computing, etc, organizations are faced with many factors and challenges that generate real changes in the traditional BPM. Among these challenges, we have the huge amount of data and event data that are continuously gathered. Such data must be adequately exploited to extract high added value that can assist the organization in its decision making process. However, traditional BPM systems present different limits, as they do not facilitate the use of knowledge extracted from this data by business processes, because they do not benefit from statistical functionalities and data analysis and manipulation techniques. Several researches have been done in this area to link event data and data analysis to BPM by using, for example, process mining or machine learning algorithms. This paper shows how data and event data are the key to get a better understanding of the functioning of business processes, and to start the journey of business process improvement towards a stateful, context-aware, and proactive business process.
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