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Research & Innovation

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The AWS Institute for Digital Products and Processes is dedicated to promoting innovations and application-specific research transfer at an international level. In line with this mission, the company is unveiling its new Desktop Activity Mining at CEBIT 2018.

25 May. 2018
AWS-Institut_DAM
AWS-Institute DAM

"Everything that can be digitized will be digitized" is a vision that the August-Wilhelm Scheer Institute (AWSi) for Digital Products and Processes in Saarbrücken not only believes in, but wants to actively pursue. This independent research institute develops new technologies and preempts business models, focusing hard on interlinking research, innovation and business right from the start. One of its highlights at CEBIT 2018 in Hannover is the launch of Desktop Activity Mining.

Desktop Activity Mining is based on a method developed at the AWSi for capturing and documenting work processes. It works by anonymously logging the screen actions of all employees involved in the process and then consolidating and combining these into a business process. Data and process mining mechanisms are used to obtain the data algorithms required to generate a detailed representation of the actual work process. The revolutionary key to this new mining approach is that it goes beyond only using transaction data from IT systems to describe a business process - by directly mining the employees' desktop activity. This captures previously undetectable actions that are relevant to the process, such as writing an email. Desktop Activity Mining therefore provides the first ever means of representing entire processes at employees' actual working level. This promises to prove indispensable in the field of Robotic Process Automation (RPA), where work processes are performed by software robots. Desktop Activity Mining generates consolidated work processes precisely enough to configure these software robots, thus potentially paving the way for cost-effective and efficient automation of the configuration processes involved instead of time-consuming manual input.

AWS-Institut für digitale Produkte und Prozesse gGmbH (66123 Saarbrücken, Germany), Hall 27, Stand G75

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