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IBM Process Mining

IBM Process Mining

Overview

What is IBM Process Mining?

IBM Process Mining is a solution that helps businesses of all sizes by improving visibility, efficiency, and compliance in business processes. IBM Process Mining creates a digital twin of an organization's processes by analyzing data from multiple systems. This creates…

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Awards

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Pricing

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IBM Process Mining via IBM Cloud Pak for Business Automation SaaS

$4,250

Cloud
per month per installation

IBM Process Mining for Cloud Paks On-Premises

$33,110

On Premise
per year per installation

IBM Process Mining Standalone SaaS

$51,000

Cloud
per year per installation

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.ibm.com/products/process…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Details

What is IBM Process Mining?

IBM Process Mining is a solution that helps businesses of all sizes by improving visibility, efficiency, and compliance in business processes. IBM Process Mining creates a digital twin of an organization's processes by analyzing data from multiple systems. This creates a clear, real-time picture of how the organization's processes function, helping the user to identify inefficiencies and bottlenecks. With process intelligence assisted by AI, it delivers prescriptive recommendations that align with the organization's goals—whether it’s cutting costs, improving compliance, or accelerating digital transformation.


Why IBM Process Mining?

  • AI-powered process intelligence: Delivers actionable insights, pinpoints inefficiencies, identifies risks, and provides ROI-driven recommendations for smarter decisions
  • 360° process visibility: Offers a transparent, data-driven view of the entire operations. Eliminates guesswork with precise insights into how your processes actually function - Process simulation: Users can test potential process changes in a simulated environment before implementation, and explore various improvement scenarios and understand their impact.
  • Continuous KPI monitoring and alerts: Monitors key performance indicators with automated, customizable alerts that help track issues before they escalate. KPIs can be tailored to meet industry-specific needs, or aligned with internal metrics.
  • Compliance and risk management: Automated compliance tracking of regulations. The system that continuously monitors and updates compliance status.

IBM Process Mining helps organizations worldwide streamline operations and improve outcomes. For example, Max Mara achieved a 90% reduction in customer service resolution times and reduced costs by 46% using IBM Process Mining.

For teams of any skill level, IBM Process Mining is intuitive by design—delivering prescriptive recommendations and process simulations that enable faster, smarter decisions with minimal effort.

IBM Process Mining is also available via the AWS Marketplace.

IBM Process Mining product page https://ibm.biz/BdaYPk

IBM Process Mining Features

Process Mining Features

  • Supported: Data Connection
  • Supported: Process Discovery
  • Supported: Visual Process Representation
  • Supported: Process Variants
  • Supported: Performance Metrics
  • Supported: Process Mining Algorithms
  • Supported: Root Cause Investigation
  • Supported: Process Optimization
  • Supported: What-if Analysis
  • Supported: Process Compliance and Audit

Additional Features

  • Supported: Process Mining Assistant powered by watsonx
  • Supported: Prescriptive process mining
  • Supported: Task mining
  • Supported: Digital twin of operations (DTO)
  • Supported: Object-centric data model
  • Supported: Decision mining and rules analysis
  • Supported: Trigger actions and set monitors
  • Supported: Segregation of duties analysis
  • Supported: RPA bot scaffolding
  • Supported: Data streaming for real-time insights
  • Supported: Custom business metrics

IBM Process Mining Screenshots

Screenshot of visualizations that provide analysis on process performance and the associated times and costs, used to automatically discover processes.Screenshot of a visualization that helps locate the best process performance in lead time and costs related to both standard and customized KPIs of running processes to understand where automation will make the biggest impact.Screenshot of analytics that compare a discovered process with a reference process model to locate deviations and their costs, frequency and root cause for targeted fixes.Screenshot of RPA Candidates, that recommends the activities to automated based on ROI and the desired automation level.Screenshot of a simulation comparing as-is and what-if processes to calculate ROI of automation initiatives.

IBM Process Mining Videos

Process mining is a technique that applies data science to discover, monitor and optimize business processes by analyzing available knowledge from event log systems and desktop interactions. IBM’s Lou Foglia explains how process mining can help a business better understand th...
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Watch Accelerating a robotic process automation journey with IBM Process Mining.

IBM Process Mining Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac
Mobile ApplicationNo
Supported CountriesWorldwide
Supported LanguagesDanish (Dansk), English, Finnish (Suomi), French (Français), German (Deutsch), Italian (Italiano), Japanese (日本語), Korean (한국어), Portuguese (Brazil) (Português - Brasil), Portuguese (Portugal) (Português - Portugal), Simplified Chinese (简体中文), Spanish (Español), Swedish (Svenska), Traditional Chinese (繁體中文)

Frequently Asked Questions

Celonis, UiPath Process Mining, and ARIS Process Mining are common alternatives for IBM Process Mining.

Reviewers rate Support Rating highest, with a score of 8.8.

The most common users of IBM Process Mining are from Enterprises (1,001+ employees).
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Comparisons

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Reviews From Top Reviewers

(1-5 of 47)

Best Extracting tool for business BOOM

Rating: 9 out of 10
November 29, 2023
vk
Vetted Review
Verified User
IBM Process Mining
5 years of experience
at real time use I found is easy to use. if your algorithms is up to the point then you can extract a strong data accOrding to your strategy .which required for your R&D.and after using process Mining we converted passive clients into active and now were delivering them best service.

IBM Process Mining reduces workload and automatically improves all business processes.

Rating: 10 out of 10
December 17, 2023
BJ
Vetted Review
Verified User
IBM Process Mining
2 years of experience
IBM Process Mining is top-notch software, it deserves 10 points as it simplifies our manual effort and actively reduces risk in our applications, plus it has a technical support team that is always available to fix issues as needed. This software is highly recommended to improve launches and eliminate bottlenecks, its profitability makes it the favorite software on the market.

We optimize our business processes with great ease, there are currently no bugs with IBM Process Mining.

Rating: 10 out of 10
December 14, 2023
AM
Vetted Review
Verified User
IBM Process Mining
2 years of experience
I recommend IBM Process Mining to any company, big or small, it also deserves a higher rating than the others, the automation that we achieved with this software has been very favorable, our processes always had flaws, but with IBM Process Mining the results are successful. If you are thinking of buying software like this, you should know that there are countless similar systems, but this is the software most capable of improving business processes, now we are improving our business processes without much effort.

IBM Process Mining review

Rating: 8 out of 10
September 27, 2023
VS
Vetted Review
Verified User
IBM Process Mining
1 year of experience
well suited: Identifying and eliminating bottlenecks, redundancies, and delays in processes to improve efficiency and reduce operational costs
less appropriate: Monitoring and improving product and service quality by identifying deviations and issues in production processes
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