IBM® Process Mining
Recognized in the 2021 Gartner Market Guide for Process Mining
What is process mining?
Process mining is when businesses apply specialized data mining algorithms to processes, cases and events logged by enterprise applications to understand real work done by employees, locating hidden bottlenecks and pinpointing where automation will lead to the biggest process improvements.
How it’s used
Easily discover and model processes
Automatically discover process flows by applying data mining algorithms to event logs, including extracting data from enterprise applications like SAP, Salesforce, Workday and IBM® Rational®, and then automatically generate process models. When combined with task mining, which discovers and analyzes user interaction data on a desktop, a business can analyze different levels of detail for a more complete picture of a process.
Gain actionable insights with customized KPIs
Apply data analysis patterns to discovered processes, visually verifying metrics like frequency, duration, cost, compliance and conformance with advanced data visualizations on custom drag-and-drop dashboards. Define and evaluate company-specific KPIs and compare two or more process variants for a more holistic view of your process management.
Uncover clear root causes for targeted fixes
Look more closely at the processes that have issues and uncover exactly where and why problems are happening with root-cause analysis visualizations — whether there’s a resource snag, approval delay or other irregularity at a specific point in a business process.
Simulate future processes
Generate a digital twin to create hypothetical scenarios from as-is processes. For a more accurate twin, mine business rules to understand existing logic. Use your digital twin to adjust resource allocations, add RPA bots, alter business rules and more. Run simulations comparing as-is and what-if processes to calculate ROI. Then refine models and disqualify unproductive changes.
Build an automation plan and enact it
Use insights collected on performance, productivity and frequency to design and optimize a clear automation strategy. Whether you want to reduce non-conformant decisions, diminish process deviations or simply accelerate document processing, you can seamlessly implement changes.
What you get
Process mining features
Model and rule refinement
Bots, resources allocations
Adjust resource allocations based on your desired automation level, projected ROI, and resource costs.
Critical resource analysis
Identify process key users, relations between resources and roles, and ensure compliance.
View all the resources and roles involved in each activity and perform drill-down analyses.
Compare process performance with process model, find unexpected behavior and uncover root causes of deviations to standardize.
Multi-level process mining
Map out and analyze complex processes with multiple systems, tackling biased statistics and data duplication.
Create unlimited what-if scenarios and find risk-free automation decisions for maximum ROI before implementation.
Compare two or more variants to highlight inefficiencies in time and money and identify improvement opportunities.
Build once and reuse
A set of common AI and automation components power each IBM Cloud Pak® and provide security-rich integrations between them — so you can build once and then reuse across your business and IT operations. Key components include:
- Process mining to identify trends, patterns and details of how a process unfolds
- Task mining to find low-hanging RPA opportunities
- Robotic process automation to automate repetitive tasks
- Unified asset repository to store and share reusable automation artifacts
- Single event hub to process event data in real time and feed machine learning
Personal, interactive AI
Give workers their own interactive AI — in tools they already use, like email, calendars and Slack® collaboration software — to help them perform routine and mission-critical tasks faster. Initiate work easily through chat and then a powerful AI engine goes to work combining prepackaged skills based on organizational knowledge and prior interactions.
The automation foundation and IBM Cloud Paks are containerized software that run on Red Hat® OpenShift®, an enterprise-ready Kubernetes platform. Such containers are ready to deploy anywhere: hybrid cloud, multicloud and edge. Red Hat OpenShift offers one point of control to simplify orchestration across all of your environments.
IBM certifies and manages the container templates to automate the software lifecycle from configuration to monitoring, scaling, compliance and patching. Security hardening techniques reduce the chance of even common vulnerabilities.