IBM Process Mining - An introduction

Business ecosystem is changing everyday across the globe. The changes bring ad hoc shift in processes and systems that are complex and multi-dimensional. Hence process mining and data analytics become more important for business organizations to learn and attain insights on the hidden process details and their impact on the business.

Process mining is the practice of examining processes, cases, and events logged by enterprise applications by using specialized data mining algorithms. It provides you data-driven insights to manage, monitor, and control your business processes. The insights from process mining include process models and statistics, model comparisons and conformance check with a reference model, process deviations, cost and time estimation, process delays and inefficiencies, resource mapping, and task analysis. In addition, the process mining helps you to make intelligent decisions for process improvements by creating process simulations based on the data-driven insights and analytics.

Following are some of the scenarios where you can employ the process mining services:

  • Insurance claims tasks
  • Data collection and reporting
  • Regulations and compliance
  • Vehicle checks and reporting
  • Medical claims tasks
  • Order management

IBM® Process Mining

IBM® Process Mining is a leading process mining application that uses cutting-edge technology to analyze the processes and tasks in your business. It discovers and constantly monitors the event logs and activities in the enterprise systems to generate insights that help to optimize your business processes. IBM® Process Mining creates and visualizes the end-to-end process along with the process paths.

You can use the following links to learn more about the use cases of IBM Process Mining:

Components of IBM Process Mining

IBM® Process Mining includes two major components that are IBM Process Mining and IBM Task Mining.

IBM Process Mining

IBM Process Mining uses data mining and process intelligence capabilities to provide actionable insights that help to analyze performance, address process inefficiencies, and streamline the business processes. It identifies the process flow in your enterprise applications, tracks the desktop interactions, and maps the extracted data to create process models. In addition, IBM Process Mining helps you discover, visualize, and monitor your process and compare your process models with simulations of the automated process models.

IBM Process Mining integrates with the third-party automation and enterprise applications seamlessly. The Robotic Process Automation (RPA) Bot generation capabilities of IBM Process Mining helps you to create and run customized scripts to generate RPA Bots specific to your automation tool. IBM Process Mining also includes Process Apps that automates extraction, transformation, and loading (ETL) of data from your enterprise tools to IBM Process Mining.

IBM Process Mining facilitates process automation by identifying the best process candidates for automation, providing the cost and performance estimations, and demonstrating the impact of automation initiatives on your entire process before implementation. In addition, IBM Task Mining helps you integrate with IBM Process Mining for a better understanding of how manual processes impact the business process. IBM Task Mining captures and sends your user interaction data to IBM Process Miningto create an augmented process model for deeper insights.

IBM Process Mining also supports process monitoring by enabling you to create customized monitors for your process. You can use the process monitors in IBM Process Mining to set the thresholds and intervals for monitoring your process. You can also configure the application programming interfaces (APIs) of third-party communication tools to receive the automated alerts and notifications.

IBM Process Mining Architecture

Figure 1. IBM Process Mining architecture


IBM Task Mining

IBM Task Mining application is an on-screen activity analytics tool. It records, analyzes, and generates insights about the user interactions on your system desktop and help you input the data into IBM Process Mining. Some of the important insights that you get from IBM Task Mining are as follows:

  • Productivity: IBM Task Mining helps you measure the time taken by the users to complete each event in a process. It captures the idle time or time delays because of the context switches or rework that shows the process inefficiencies in the manual activities. IBM Task Mining also provides you the cost estimation and comparison of your current process and the automated process based on the productive time of the user interactions.

  • Working Patterns: IBM Task Mining helps you discover the patterns of performing an event and the most efficient ways to complete the event by identifying deviations and inefficiencies. It identifies the root causes of inefficiencies and helps you set up the most efficient patterns as the best practice for the employees.

  • Automation: IBM Task Mining identifies and simulates the working patterns to be automated based on the process complexity and benefits. The simulation analyses the performance and cost benefits of automation and combines the business data and user interaction data to provide insights on business process automation.

    IBM Task Mining Architecture

Figure 2. IBM Task Mining architecture