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IBM Process Mining

IBM Process Mining

Overview

What is IBM Process Mining?

IBM Process Mining enables organizations to identify the business processes that may benefit most from automation by using business system data to create and visualize an end-to-end process to uncover derivations, bottlenecks and inefficiencies that are hidden in business processes.IBM…

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Recent Reviews
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Awards

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Pricing

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IBM Process Mining Inside Cloud Pak for Business Automation SaaS

$3208 Flexpoints (Flexpoints are priced at USD 1 per point on a recurring, monthly basis)

Cloud
per month per installation

IBM Process Mining Inside Cloud Pak for Network Automation On-Prem

$33,110

On Premise
per year per installation

IBM Process Mining Inside Cloud Pak for Watson AIOps On-Prem

$33,578

On Premise
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 enables organizations to identify the business processes that may benefit most from automation by using business system data to create and visualize an end-to-end process to uncover derivations, bottlenecks and inefficiencies that are hidden in business processes.

IBM Process Mining provides users an objective view to analyze business processes, identify areas to focus automation initiatives and create what-if scenarios on prioritizing automation projects.

As a foundational capability of IBM Cloud Paks for Automation, IBM Process Mining finds the best process candidates for automation, calculates expected ROI, and shows the impact of automation initiatives on the entire process before implementation.


IBM Process Mining Features

  • Supported: Task Mining
  • Supported: Simulation
  • Supported: Digital Twin of an Organization (DTO)
  • Supported: Variants comparison
  • Supported: Multi-level process mining
  • Supported: Conformance checking
  • Supported: As-is/what-if comparisons
  • Supported: Critical resource analysis
  • Supported: Model and rule refinement
  • Supported: Bots, resources allocations
  • Supported: Activity map

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 Video

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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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 LanguagesEnglish, German, Italian, Japanese, Dutch

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 9.3.

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

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Reviews and Ratings

(123)

Attribute Ratings

Reviews

(1-1 of 1)
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Vinay Damle | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
IBM Process Mining - An awesome business process models automation tool.
  • A great tool to integrate with business process models.
  • Provides a real-time view of the business processes in a detailed manner.
  • Very good and easy-to-use UI makes it easy to use.
  • The tool provides large capabilities at the cost of time to get it working.
  • It does have a very good UI however it can be improved with the latest UI frameworks.
  • A little bit of improvement would be configuration documentation may avoid calls to the support team.
Wanted a cloud-based automation tool and it is the solution. Used to analyzes the business processes to check the process improvement areas. The tool helps in detecting errors and hence helps to fix the processes.
  • Very good in process analyzation
  • The UI dashboards are detailed and provides enough information
  • Most important is once integrated very easy to use
  • In comparison to other tools, it is a bit costly.
  • UI needs to be updated with the latest technology.
  • Time-taking integration with the application and processes.
A cloud-based solution which helped to analyze the business processes and to find the improvement areas. An automated tool to handle the analysis of applications and processes. An awesome tool for data mining and now we can manage our data historically to provide detailed analysis with the cause which further helped to ensure better performance.
The initial integration/configuration is complex and hence takes time. Once integrated it is very easy and nice to use. We can have the analytics with a very user-friendly dashboard. It provides detailed information which helps in finding causes and hence in improvement. I would say it is a very nice and user-friendly tool.
  • The UI dashboard is very easy and elegant.
  • The detailed analytics are also very informative.
  • The tool is very rich and one of the best in process mining.
  • Complex and time taking integration.
  • Bit of a learning curve to start with.
  • UI needs to be updated to the latest technologies.
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