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Ratings and Reviews 0 Ratings
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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 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.
Integrations Supported
Automation Anywhere
Microsoft Power BI
Qlik Cloud Analytics
Qlik Sense
Integrations Supported
Automation Anywhere
Microsoft Power BI
Qlik Cloud Analytics
Qlik Sense
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
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
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
Categories and Features
Business Process Management
Access Controls / Permissions
Alerts / Notifications
Business Process Automation
Business Rules Management
Collaboration
Process Change Tracking
Process Mapping
Process Modeling & Design
Visual Workflow Management