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What is Process Mining

Hyperautomation in Business and Society
Using event logs to analyze and visualize business operations. Process mining helps companies understand and optimize and automate processes.
Published in Chapter:
Hyperautomation in Financial Services: Revolutionizing Banking and Investment Processes
Dwijendra Nath Dwivedi (Krakow University of Economics, India), Ghanashyama Mahanty (Utkal University, India), and Tanya Dora (Vellore Institute of Technology, India)
Copyright: © 2024 |Pages: 16
DOI: 10.4018/979-8-3693-3354-9.ch010
Abstract
The financial services industry is on the verge of a revolutionary period, propelled by the emergence of hyperautomation. This study explores the significant influence of hyperautomation technologies, including artificial intelligence (AI), machine learning, robotic process automation (RPA), and other advanced digital tools, on banking and investment procedures. This analysis explores the ways in which these technologies are changing and improving business operations, enhancing consumer satisfaction, and modifying the competitive environment. The chapter begins by providing an overview of the present condition of financial services, emphasizing conventional approaches and the growing requirement for innovation in order to address changing market demands and rising client expectations. Subsequently, it offers a comprehensive examination of the integration of hyperautomation technologies into many facets of financial operations, encompassing algorithmic trading, personalized banking services, risk assessment, compliance monitoring, and customer service improvement.
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More Results
Semantic Business Process Mining of SAP Transactions
Research area that aims at creating tools for discovering process, control, data, organizational and social structures from event logs.
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Improving Objectivity in Project Risk Management
A data mining method to analyze event logs and discover patterns in business processes.
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Business Process Intelligence
Is the discovery of information based on event logs. Process discovery, conformance checking, critical factor analysis and prediction qualify as process mining techniques.
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Applied Sequence Clustering Techniques for Process Mining
Field of research that studies techniques to discover business process models automatically from recorded behavior.
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Applying Process Mining to the Emergency Department
Techniques, tools, and methods to discover, monitor and improve real processes (i.e., not assumed processes) by extracting knowledge from event logs commonly available in today's (information) systems.
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Mind the Gap: From Typical LMS Traces to Learning to Learn Journeys
Is a data science technique used to analyze and identify common process-based patterns, based on event logs.
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Increasing Visibility through Process Mining
Process mining is a technique employed to gain an understanding of a process by extracting data from event-logs to develop a process model.
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Learning Analytics for Smart Classrooms
Assist in the analysis of processes and converts data into ideas and actions.
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