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RPA practice has become a very important lever to deliver high-cost savings and reducing the dependency on humans for unskilled and repetitive tasks. RPA is successful when deployed at the appropriate process and scale. In achieving the desired outcome from RPA, Process Mining has gained a lot of relevance and has become an integral part of the RPA. RPA concerns with the automation of business processes, enabling companies to strengthen cost effectiveness and quality improvements. The most critical stages of a RPA project is to pick the intended business process to be automated. However, RPA isn't the means to all or any ends and may be deployed randomly across the processes. The intended automated process must be selected carefully to profit the foremost from RPA. This is often where the critical question must be answered, where and the way do we chose the eligible process for a feasible RPA Deployment. Often the business process that's most eligible for RPA has activities that are repetitive, standardized and transactional. But how do we validate exactly which business process is that or one qualifies the minimum requirement for an RPA. Although most of the business owners and operators would have a good idea how the daily operation works, the important deal is to travel beyond a good understanding to the key stroke level details. This is often where Process Mining comes in. Use Process Mining techniques to construct the AS-IS processes by using event logs, identify and choose the processes that benefit the foremost from automation! Advantage of Process Mining Over the past few years, Business process optimization practitioners constructed the AS-IS process using qualitative methods. With Process Mining's ability to get data and supply insights into the method inputs, flow and output. We now have access to quantitative data points and trends to analyze the simplest fit process. Because the tactic model is made by data its objective and more reliable than as-is process constructed by qualitative methods. The info is extracted from IT-systems that store data and make event logs. The events range from online transactions from an e-commerce website, a business’s offering various discounts and finance schemes to adopt prepaid payment methods over post-delivery methods made through their platform. After the as-is process is made it are often extended with perspectives that are relevant to the business case or the question that possesses to be answered. Process Mining will generate data and help us to identify the frequency of repetitive activities, significance costs or resource use, slowdown time as well as waiting time, process bottlenecks, waste and barriers for a smooth process. Integration of RPA and Process Mining Now that we have recognize what RPA and Process Mining are, the next step it to integrate how RPA-project can leverage Process Mining. Processes and RPA executioners simply don't only need to use Process Mining as an area of a RPA-project, it's also valuable before or after a RPA-project. Here are some examples: Pre RPA Deployment Process Mining was performed before automation to optimize a business process. Process Mining allows for locating the business process where redundancies and process inefficiencies are exposed. This is often beneficial for RPA, as for RPA to be most successful the variation within the business process should be minimized. Before RPA it's better to standardize the processes variation to make high volumes per process variation. This helps in RPA to be used as efficiently as possible. During RPA Deployment Conduct Process Mining as a sub activity of a RPA-project to supply an objective overview of business processes. It help in making the particular process transparent by a data-driven perspective whereby repetitive activities, bottlenecks and process loops are shown. By doing so we'll identify the sole processes to be automated next. Post RPA Deployment The data generated by automation enables continuous improvement in terms of further optimizing the algorithms making the tactic add the backend. Use the info for Process Mining techniques to research the tactic and determining the specified outcome, effectiveness of the automation and subsequent improvements