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What is mpmX?

mpmX is a groundbreaking platform focused on modular process mining and process intelligence, aimed at assisting organizations in extracting, analyzing, visualizing, and enhancing complex operational processes through direct integration with existing data systems such as Qlik, Snowflake, and Databricks, which removes the necessity for data duplication or migration. By exploring fragmented business data, it reveals authentic process flows, interdependencies, inefficiencies, and bottlenecks, effectively blending business intelligence with process mining to help teams comprehend both numerical KPIs and the core workflows that drive them, ultimately facilitating the discovery of root causes rather than simply tackling surface-level problems. Furthermore, mpmX provides features like visual process mapping, dynamic filtering, time-based analysis, and multi-perspective process views, alongside automated report generation capabilities, which empower analysts and decision-makers to achieve a thorough understanding of performance across the board, allowing for well-informed strategic choices. This innovative approach not only enhances operational efficiency but also fosters a culture of continuous improvement within organizations.

What is IBM Process Mining?

IBM Process Mining empowers organizations to uncover business processes that stand to gain significantly from automation opportunities. By leveraging data from business systems, it constructs comprehensive process visualizations that highlight potential bottlenecks or deviations that might be obscured within existing workflows. This tool provides users with an unbiased perspective on their business operations, pinpointing specific areas where automation efforts should be concentrated. Additionally, it enables the simulation of various scenarios to effectively prioritize automation projects based on their potential impact. As a core component of IBM Cloud Paks for Automation, IBM Process Mining not only identifies the most promising processes for automation but also assesses the anticipated return on investment. Furthermore, it illustrates the potential effects of automation initiatives throughout the workflow, allowing for informed decision-making prior to implementation. This ability to foresee changes enhances strategic planning and optimizes resource allocation in automation endeavors.

Media

Media

Integrations Supported

Qlik Cloud Analytics
Databricks
Snowflake

Integrations Supported

Qlik Cloud Analytics
Automation Anywhere

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

mpmX

Company Location

Germany

Company Website

mpmx.com

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/cloud-pak-for-business-automation/process-mining

Categories and Features

Process Mining

Not specified

Categories and Features

Business Process Management

Collaboration
Process Change Tracking
Process Mapping
Process Modeling & Design

Process Mining

Not specified

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