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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 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.

Media

Media

Integrations Supported

Microsoft Power BI
Qlik Sense

Integrations Supported

Databricks
Qlik Cloud Analytics
Snowflake

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

process.science

Company Location

Germany

Company Website

www.process.science/benefits

Company Facts

Organization Name

mpmX

Company Location

Germany

Company Website

mpmx.com

Categories and Features

Process Mining

Not specified

Categories and Features

Process Mining

Not specified

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