Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Redlist Reviews & Ratings
    64 Ratings
    Company Website
  • NewOrg Reviews & Ratings
    125 Ratings
    Company Website
  • Polonious Reviews & Ratings
    2 Ratings
    Company Website
  • BackUp Maker Reviews & Ratings
    20 Ratings
    Company Website
  • Coevera Reviews & Ratings
    753 Ratings
    Company Website
  • Interfacing Integrated Management System (IMS) Reviews & Ratings
    66 Ratings
    Company Website
  • Titan Reviews & Ratings
    378 Ratings
    Company Website
  • 8am Reviews & Ratings
    1,242 Ratings
    Company Website
  • GiveLife365 Reviews & Ratings
    11 Ratings
    Company Website
  • Intellimas Reviews & Ratings
    30 Ratings
    Company Website

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 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

Microsoft Power BI
Qlik Sense

Integrations Supported

Automation Anywhere
Qlik Cloud Analytics

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

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

process.science

Company Location

Germany

Company Website

www.process.science/benefits

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

Popular Alternatives

Threadseer Reviews & Ratings

Threadseer

Wittenauer Software

Popular Alternatives

mindzie Reviews & Ratings

mindzie

mindzie, inc.
Threadseer Reviews & Ratings

Threadseer

Wittenauer Software