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What is process.science?

Process mining is a contemporary technique that merges the evaluation of business data with process improvement initiatives. In this context, every activity carried out by an organization is tied to a specific process instance referred to as 'Cases.' The ERP system records all relevant transaction information pertaining to these processes in files known as 'event logs.' A fundamental event log must encompass three critical components. With this data in hand, analysis can commence right away. The case identifier links all events associated with a particular business case into a coherent sequence, while the activity name reveals the specific step taken in the process. Additionally, the timestamp denotes when a particular action took place. By correlating the details from Case ID, Activity, and Timestamp, process mining creates an accurately ordered representation of the process, allowing for visualization that offers profound insights into operational efficiency. The possibilities for analysis through process mining are nearly boundless, depending primarily on both the quality and depth of data input into the mining software, empowering organizations to consistently improve and optimize their processes. This dynamic capability enables companies to adapt swiftly and effectively in a rapidly changing business environment.

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.

Media

Media

No images available

Integrations Supported

Microsoft Power BI
Qlik Sense

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free Signup
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

process.science

Company Location

Germany

Company Website

www.process.science/benefits

Company Facts

Organization Name

mindzie, inc.

Date Founded

2020

Company Location

United States

Company Website

mindzie.com

Categories and Features

Process Mining

Not specified

Categories and Features

Process Mining

Not specified

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