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What is mindzie?

Mindzie functions as an all-encompassing platform for process intelligence that integrates three essential modules in a cohesive manner. Its Process Mining capability scrutinizes system event logs to uncover the true workflow, pinpointing each variation, rework cycle, and existing bottleneck. The Task Mining feature observes desktop activities to highlight the manual interactions that happen across different systems. Meanwhile, Business Process Modeling allows for the creation and governance of BPMN 2.0 models, which are subsequently validated against real-world process performance data. Complementing these modules are advanced features such as object-centric process mining, simulation tools, integrated ETL processes, and a variety of system connectors. The platform further enhances process monitoring with AI-driven predictions, includes an AI Copilot for natural language insights, and deploys AI agents that respond to real-time process contexts. Mindzie can be utilized in three distinct formats: the Cloud Edition (SaaS) offers a fully managed solution for ease of access, the On-Premises Edition caters to sectors like banking and healthcare that demand strict data governance, and the free Desktop Edition serves analysts and consultants who require local functionality. This versatility guarantees that organizations, regardless of their size, can leverage process intelligence tailored to their unique requirements while enhancing overall operational efficiency.

What is MPM ProcessMining?

Discover the innovative Agile Enterprise Performance Intelligence Platform called MPM, which stands out as a state-of-the-art Process Mining solution that offers the fastest Time to Value. Its user-friendly data sourcing and preparation processes, combined with a unique analytical interface and intuitive action management, position MPM as a holistic platform aimed at boosting your operational efficiency. Suitable for both medium-sized enterprises and large corporations, MPM can be deployed on-premise or accessed through the cloud. Key attributes such as scalability, flexibility, and agility make it adaptable to a wide range of organizational requirements. By taking a closer look at your business processes, MPM reveals automation possibilities that can dramatically improve operational effectiveness. We invite you to participate in an informative demo led by our specialists, where you will experience the power of process and desktop mining, showcasing how insightful data from user interactions is captured and represented in the process mining dashboard. MPM ProcessMining, in partnership with Nice, encourages you to deepen your grasp of process transparency and automation. Seize this opportunity to transform your strategies for process enhancement and drive significant changes in your organization. Embrace the future of process optimization and witness firsthand how MPM can elevate your business practices.

Media

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Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Free Signup
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

mindzie, inc.

Date Founded

2020

Company Location

United States

Company Website

mindzie.com

Company Facts

Organization Name

MPM ProcessMining

Date Founded

2008

Company Location

Germany

Company Website

mpm-processmining.com/en

Categories and Features

Categories and Features

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