IBM Process Mining is a solution that uses AI and data from your business systems like ERP and CRM to provide complete process transparency1. It helps businesses make faster, more informed decisions for process improvement through data-driven insights1. Here are some of its key features:

Process Transparency: It provides a fact-based process model with insights from stakeholders and data sources into how your business is working.

Automation Opportunities Identification: It identifies automation opportunities, prioritizes them by impact and expected ROI, and fast-tracks implementation with automated RPA bot generation.

What-If Analyses: It allows you to predict the impact and ROI of change initiatives and identify potential operational risks before making investments.

Non-Conformant Cases Analysis: It analyzes non-conformant cases to identify the root causes of deviations, stakeholders involved, and impacts on key performance indicators (KPIs).

Integration: It integrates with hundreds of sources including SAP, Oracle, and more.

Deployment and Customization: It can be deployed anywhere and allows customization of dashboards with a low-code/no-code platform.

Task Mining: It enhances process analyses with task mining for a holistic view into processes and tasks.

In summary, IBM Process Mining helps businesses improve processes by 70% and achieve a 176% ROI1. It uses data from business systems to reveal inefficiencies, trigger actions, manage compliance, and boost productivity.