«Mine Your Own Business» — Using Process Mining to Turn Big Data into Real Value (Wil van der Aalst, SECR-2013) — различия между версиями

Версия 09:47, 22 января 2014

Содержание

1 Аннотация
2 Видео
3 Слайды
4 Примечания и отзывы

Аннотация

Докладчик: Wil van der Aalst

Recently, process mining emerged as a new scientific discipline on the interface between process models and event data. Conventional Business Process Management (BPM) and Workflow Management (WfM) approaches and tools are mostly model-driven with little consideration for event data. Data Mining (DM), Business Intelligence (BI), and Machine Learning (ML) focus on data without considering end-to-end process models. Process mining aims to bridge the gap between BPM and WfM on the one hand and DM, BI, and ML on the other hand.
The challenge is to turn torrents of event data (“Big Data”) into valuable insights related to performance and compliance. The results can be used to identify and understand bottlenecks, inefficiencies, deviations, and risks. Process mining helps organizations to “mine their own business”: they are enabled to discover, monitor and improve real processes by extracting knowledge from event logs.
In his talk, Wil van der Aalst will provide an overview of this exciting field that will become more and more important for the Information Systems (IS) discipline.