A study on task behavior using workflow and process mining

In today’s business organizations the running logs of a business process has information about its executed and generated activity in the information system. In many situations a workflow model of business processes is developed, and it becomes vital to know if such a model is actually being followed by analyzing the existing activity logs. The event logs keep record of information like who does what and when. The workflow mining is used for knowledge management and decision-making support. The logs in the information system are extracted then analyzed and applied to improve the efficiencies of the business process execution. One of the techniques used to accomplish the process improvement is called process mining. Presently, process mining is a current research area to analyze the process in organization or industries. Process mining aims to fill the gap between Business Process Management and Work Flow Management. The challenge is to turn rapids of event data into valuable insights related to process performance and compliance. Process mining output can be used to identify and understand holdups, incompetence, deviations and risks. In the changing environment the business world has to adjust their business process. Many tools are available to generate process models like ProM and Disco. This paper focuses on the task behavior, workflow analysis and business process mining in any organization.