Object-Centric Process Mining for Modern Business Processes

Modern business processes are complex, involving multiple interacting entities like orders, items, and shipments that traditional process mining struggles to capture. Object-centric process mining solves this by allowing you to analyze multi-entity processes as they actually occur in the real world. In this text-based course, you will transition from traditional single-case process mining to modern object-centric techniques. You will learn how to extract, model, and analyze complex event data to uncover operational bottlenecks, verify compliance, and predict future process behavior. What you'll learn: 1. Understand the fundamental concepts of object-centric event data and how it differs from traditional case-centric data. 2. Explore modern object-centric event log standards (OCEL) and how to structure multi-entity event logs. 3. Discover process models from complex multi-object data to visualize real-world workflows accurately. 4. Perform conformance checking to identify deviations between actual operations and prescribed process models. 5. Apply enhancement techniques to enrich process models with performance metrics and bottleneck analysis. 6. Predict process outcomes and bottlenecks using modern data-driven forecasting approaches. The course begins with foundational definitions of process mining and data structures, then guides you step-by-step through discovery, conformance checking, and predictive modeling. You will read clear explanations and analyze practical data examples to solidify your understanding. This course is designed for beginners in process mining, data analysts, and business professionals, with no prior experience required. Start reading today to unlock deeper, multi-dimensional insights into your organization's workflows.