Introduction
Welcome to the ADONIS Process Mining Essentials (PME) Guide!
ADONIS PME brings powerful process mining capabilities to ADONIS, helping you uncover how your processes actually run. By uploading event logs and selecting relevant data columns, you can visualise, analyse, and optimise your workflows based on real execution data.
Once uploaded, your logs are securely processed in an AWS-hosted microservice. The result? Actionable insights that help you identify hidden paths, detect bottlenecks, and ensure compliance, driving continuous improvement across your organisation.
What’s inside
Here’s a quick overview of what you’ll find in this guide:
Introduction: You’re here! This section gives a brief overview of BOC Group’s process mining offerings and the key capabilities of PME.
Get started: Learn how to access PME in ADONIS and create a new process mining project.
Process mining in ADONIS PME: Detailed instructions on how to use PME's core features: process performance management, process discovery, and conformance checking.
Manage projects in ADONIS PME: Learn how to manage process mining projects, including renaming, exporting, and deleting them.
ADONIS integration: Instructions on viewing process mining metrics in ADONIS Insights dashboards.
Activation and setup: Prerequisites for using the tool, and instructions for ADONIS admins on enabling PME for users.
Usage terms: Information on data usage and other legal aspects.
BOC Group Process Mining Solutions
Understanding and optimising business processes is crucial for success, especially in today's fast-paced business world. As we aim to provide the right solution for every demand, there are two different types of solutions that our company offers when it comes to process mining:
Partnership solution: Our partnership solution is called ADONIS Connect for Process Mining.
Establishes a connection between ADONIS and third-party mining vendors' solutions.
Designed for customers with existing corporate process mining tools.
BOC Group solution: Our BOC Group solution, ADONIS Process Mining Essentials (PME), is an add-on for the ADONIS BPM Suite.
Built entirely by the ADONIS team.
Focuses on essential process mining features.
Fully embedded within ADONIS, intuitive and easy-to-use.
This guide focuses on the ADONIS Process Mining Essentials (PME) add-on which offers essential process mining features and encourages customers to take their first steps towards operational excellence.
Capabilities of ADONIS PME
PME is purposefully designed to offer core functionality that supports different phases of the Process Management Lifecycle (PMLC). Below are the three main capabilities and how they align with the lifecycle:
| PME capability | Description | PMLC phase |
|---|---|---|
| Process discovery | Process discovery is the initial phase of process mining where hidden or implicit business processes are automatically extracted and visualised from event log data. It aims to uncover the actual flow of activities within an organization, providing insights into how work is truly executed. Process discovery is essential for understanding existing processes before further analysis or optimisation. | Design & Documentation |
| Conformance checking | Conformance checking is the process of comparing observed behaviour in an event log with a predefined or expected process model. It helps identify deviations or non-compliance between the actual executed process and the intended process, supporting organizations in ensuring adherence to established procedures. | Execution & Operation |
| Process performance management | Process performance management involves the continuous tracking and analysis of key performance indicators (KPIs) and other metrics to assess the efficiency and effectiveness of business processes, enabling data-driven decisions that drive process optimisation and improvement. | Feedback & Controlling |
Please note that the automated optimisation and enhancement is not part of our offering. ADONIS PME gives the opportunity for customers to gain valuable insights of their business processes, but it is completely up to their decisions how they would like to use the provided metrics and optimise their processes.