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Description

IBM Process Mining allows organizations to identify business processes that could benefit the most from automation. It uses business system data to create an end-to-end process and visualize any bottlenecks or derivations that may be hidden in business processes. IBM Process Mining gives users an objective view of business processes and identifies areas where automation initiatives should be focused. It also allows users to create what-if scenarios to prioritize automation projects. IBM Process Mining is a foundational capability for IBM Cloud Paks for Automation. It finds the best process candidates for automation and calculates expected ROI. It also shows the impact of automation initiatives throughout the process before implementation.

Description

Mimica operates directly on an employee's computer for a duration of one to two weeks, meticulously studying the tasks at hand, categorizing them into distinct processes, and identifying the most suitable candidates for automation. The result of this analysis is an interactive procedure design document (PDD) that includes both high-level complexity metrics and a detailed process map reflecting all observed variations and exceptions. Similarly, Miner functions by embedding itself on a worker's computer for a week, autonomously categorizing their activities into designated processes and determining which elements are ripe for automation. By filtering out irrelevant data, Miner effectively reveals the time allocation for each process and assesses its automatable potential, thereby directing your automation initiatives to ensure maximum return on investment. It is essential to document all applications utilized within the process, encompassing platforms like Citrix and Mainframe. This tool automatically highlights the most promising automation opportunities without necessitating manual input, streamlining the entire identification process. Throughout this operation, data security and privacy are prioritized, with all collected information being anonymized and securely stored on-premises to protect sensitive information. Consequently, organizations can confidently pursue automation strategies knowing that their data remains safe and confidential.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Automation Anywhere Yes 
Citrix Analytics No 
Qlik Cloud Analytics Yes 

Integrations

Automation Anywhere No 
Citrix Analytics Yes 
Qlik Cloud Analytics No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/cloud-pak-for-business-automation/process-mining

Vendor Details

Company Name

Mimica

Country

United Kingdom

Website

www.mimica.ai/product

Product Features

Business Process Management

Access Controls / Permissions No 
Alerts / Notifications No 
Business Process Automation No 
Business Rules Management No 
Collaboration Yes 
Process Change Tracking Yes 
Process Mapping Yes 
Process Modeling & Design Yes 
Visual Workflow Management No 

Product Features

Robotic Process Automation (RPA)

Analytics No 
Attended Automation No 
Code-free Development No 
Image Recognition No 
Optical Character Recognition No 
Process Builder No 
Third Party Application Integration No 
Unattended Automation No 

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