Process Mining & Process Intelligence

Define core process mining terms, including business process, domain knowledge, subject matter expert, case, activity, event, event log, timestamp, throughput time, and BPMN, to enable accurate modeling and analysis.

Explore the event log as the input for process mining, featuring a unique case identifier, a timestamp, and an event name, with optional data like resource and order size.

Discover how process mining supports the BPM lifecycle across seven phases—from design to diagnosis—by analyzing candidate models, implementing changes, monitoring execution, and delivering predictions and recommendations based on historic information.

Explore the three types of process mining: discovery, conformance, and enhancement, where discovery builds models from event logs, conformance checks alignment, and enhancement uses timestamps to reveal bottlenecks.

Discover how discovery uses an event log to produce a process model, conformance compares logs to a predefined model for diagnostic indicators, and enhancement creates a new model for improvements.

Apply process mining at the organizational level to optimize resources and performance by using ERP event logs with discovery, conformance, and enhancement.

Discover how event-data process models provide purposeful abstractions of behavior and serve as maps for different stakeholders, offering multiple views at varying levels of abstraction.

There is no perfect process map; models should emphasize the user's needs, presenting different perspectives: control flow, data flow, throughput time bottlenecks, resources, costs, at varying levels of granularity.

Borrow ideas from cartography to create understandable process maps by highlighting features with color and size, clustering or omitting less significant elements, and using arc width to reflect bottlenecks.

Access all course resources from this lecture's Google Drive link, including literature references, datasets, the BPMN model, and PQL information.

Learn to run a vibe coded process mining tool locally on your pc with mini process miner and process miner 3.0 (Graphis), pm4py powered, using Anaconda, Streamlit, and graphics add-on.

Upload the dataset, map columns to patient ID, timestamp, and activity, then explore process maps and directly follows graphs, using sliders to adjust abstraction and reveal top variants and connections.

Learn to filter and group in process mining by applying case-level and event-level filters, and by creating activity groups like diagnostics and interventions to simplify the process map.

Explore process mining with ChatGPT code interpreter to analyze event logs, compare alpha miner results with Celonis, and interpret process maps and throughput time.

Learn how to run process mining with the PM4Py library inside ChatGPT, install dependencies, generate a process map and a Petri net, and produce data-driven summaries despite alpha miner limitations.

Explore a custom Celonis GPT built with ChatGPT to interpret process mining graphs, troubleshoot, and gain actionable insights from maps like pizza delivery and ob/gyn care.

Discover process mining and process intelligence powered by AI, where you upload data, convert raw logs to insights, and code analyses by talking to the AI with no paywalls.

Explore the vibe coded mini process mining tool on a Streamlit page, upload event logs, and explore Petri nets, time maps, and directly follows graphs with two filters.

Built a free open source process mining app in a weekend using vibe coding, with a Streamlit interface and AI-assisted prompts; no vendor lock-in and forkable on GitHub.

Create a vibe-coded process mining tool with Gemini in Google AI Studio to upload data, view process maps, and group activities into a diagnostics category.

Build a mini process miner with Google AI Studio using eight prompts, adding conformance checking, visual graphs, and metrics like average throughput time, unique case count, and activity count.

Compare a process model with an event log to assess conformance. Start conformance checking with Celonis Snap by uploading Bpmn files or mining a process from event data.

Learn conformance checking in process mining by loading a BPMN file and a CSV event log, visualizing the model, and comparing design versus actual data to identify deviations.

Perform conformance checking with the mini process miner using PM4PY, uploading data, comparing BPM models, and analyzing case-level risk profiles with CSV export and Excel pivots.

Perform conformance checking with google ai studio's vibe coded mini process miner by uploading a bpmn model and csv log to audit conformance and view violation categories.

Start a process mining project with practical guidelines and tips that emphasize soft, social, and managerial skills to drive success within your organization.

Explore four key process mining project types: control, improvement, transformation, and disruption, and see how regulatory oversight, department changes, digital transformation, and industry shifts affect processes.

Visualize four process mining project types: control, improvement, transformation, and disruption, and see how objectives adjust a current A–E process.

Involve IT, data engineers, a process mining analyst, business analysts, domain experts, a project manager, and a process owner to extract, clean, and transform data into an event log.

Define the business value to address with process mining, such as reducing wait times. Identify deviations from a sequence and redesign the process, guided by research questions.

Start small with a narrowly defined process in a known area. Redefine the scope if the map looks like spaghetti by adjusting filters or grouping activities to simplify the model.

Focus process mining on solving existing problems known to the manager, not on identifying new issues. Deliver practical solutions that address problems managers already face.

Start small with an easy process to achieve small wins, then expand process mining across the organization to become a structural part of optimizing overall performance.