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At a Glance
Market Segments
Mid-Market (40.0% of reviews)
Enterprise (58.4% of reviews)
Entry-Level Pricing
Free Trial 30 Day Trial of IBM Process Mining as a Service.
No pricing available
IBM Process Mining
Star Rating
(157)4.7 out of 5
Market Segments
Mid-Market (40.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free Trial 30 Day Trial of IBM Process Mining as a Service.
Browse all 4 pricing plansNewgenONE Digital Transformation Platform
Star Rating
(90)4.5 out of 5
Market Segments
Enterprise (58.4% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about NewgenONE Digital Transformation PlatformSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the "Quality of Support" for IBM Process Mining is significantly higher, with a score of 9.7 compared to NewgenONE's 8.4, indicating that IBM provides more responsive and effective customer service.
- Reviewers mention that IBM Process Mining excels in "Ease of Use" with a score of 9.5, while NewgenONE's score of 8.5 suggests that users may find it less intuitive, impacting their overall experience.
- G2 users highlight that NewgenONE's "Custom Automation" feature scores impressively at 9.4, showcasing its flexibility and user-friendliness in creating tailored workflows, which some users feel is more robust than IBM's offerings.
- Users on G2 report that IBM Process Mining's "Real-Time Process Monitoring" feature, scoring 8.9, provides better insights into ongoing processes compared to NewgenONE's score of 8.1, which may limit visibility for users needing immediate data.
- Reviewers say that NewgenONE shines in "Document Management" with a score of 9.1, indicating a strong capability in handling documents, while IBM Process Mining's score in this area is not specified, suggesting it may not be as focused on document-centric tasks.
- Users report that both platforms offer strong "Integration" capabilities, but NewgenONE's score of 9.3 suggests a more seamless experience with third-party applications compared to IBM Process Mining, which may have limitations in this area.
Pricing
Entry-Level Pricing
IBM Process Mining
IBM Process Mining Trial
Free Trial
30 Day Trial of IBM Process Mining as a Service.
Discover the power of process intelligence with IBM Process Mining.
Start your 30-day free trial to explore how IBM Process Mining uncovers inefficiencies, monitors compliance, and delivers AI-powered insights for actionable results. Upload up to 1GB of data and experience the full platform (task mining excluded) in a secure and scalable environment.
- AI insights
- Workflow optimization
- Compliance monitoring
NewgenONE Digital Transformation Platform
No pricing availableFree Trial
IBM Process Mining
Free Trial is available
NewgenONE Digital Transformation Platform
No trial information availableRatings
Meets Requirements
9.6
132
8.5
70
Ease of Use
9.5
133
8.5
74
Ease of Setup
8.1
21
7.5
45
Ease of Admin
8.3
16
7.9
45
Quality of Support
9.7
129
8.4
71
Has the product been a good partner in doing business?
8.8
14
8.6
43
Product Direction (% positive)
9.7
128
9.3
81
Features by Category
Edit
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Logistics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Setup
Not enough data
8.3
16
Not enough data
9.0
17
Not enough data
7.9
13
Not enough data
8.3
15
Management
Not enough data
8.7
14
Not enough data
8.5
16
Not enough data
8.6
16
Generative AI
Not enough data
Not enough data
Agentic AI - Workflow Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Accounts Payable (AP) and Spend AnalysisHide 15 FeaturesShow 15 Features
Not enough data
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Accounts Payable (AP) and Spend Analysis
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Recovery
Not enough data
Not enough data
Not enough data
Not enough data
AP Data Processing
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation Building
Not enough data
8.7
5
Not enough data
9.7
5
Not enough data
9.2
6
Not enough data
9.4
6
Not enough data
9.0
5
Not enough data
9.0
5
Bot Management & Execution
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
9.0
5
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
9.2
6
Intelligent Automation
Not enough data
8.9
6
Not enough data
8.7
5
Not enough data
8.7
5
Agentic AI - Robotic Process Automation (RPA)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Channels
Not enough data
8.0
11
Not enough data
7.8
9
Not enough data
8.7
9
Design
Not enough data
8.5
9
Not enough data
8.5
8
Not enough data
8.3
8
Not enough data
8.3
9
Not enough data
8.5
10
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Request Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Reporting
Not enough data
Not enough data
Not enough data
Not enough data
Digital Workflows
Not enough data
9.1
13
Not enough data
8.6
12
Not enough data
9.1
13
Forms
Not enough data
9.0
12
Not enough data
9.2
12
Not enough data
8.2
10
Automation
Not enough data
9.5
10
Not enough data
9.3
10
Not enough data
9.0
10
Not enough data
9.0
8
Agentic AI - Digital Process Automation (DPA)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Contract Creation & Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Collaboration
Not enough data
Not enough data
Not enough data
Not enough data
Other Platform Features
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Contract Data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Contract Lifecycle Management (CLM)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Development
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Metrics
Not enough data
Not enough data
Not enough data
Not enough data
Visualizations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scenario Analysis
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Process Management
9.6
116
Not enough data
9.7
117
Not enough data
9.3
117
Not enough data
9.4
119
Not enough data
Process Analysis
9.6
119
Not enough data
9.4
118
Not enough data
9.6
119
Not enough data
Automation
9.1
29
Not enough data
9.7
118
Not enough data
Generative AI
7.6
7
Not enough data
Agentic AI - Process Mining
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Process Management
Not enough data
8.9
46
Not enough data
8.6
42
Not enough data
8.9
44
Not enough data
8.1
35
Not enough data
8.5
41
Not enough data
8.1
40
Not enough data
8.9
40
Customization
Not enough data
8.7
46
Not enough data
8.9
47
Not enough data
8.9
45
Not enough data
8.1
37
Not enough data
7.9
38
Collaboration
Not enough data
8.0
41
Not enough data
8.3
41
Not enough data
8.8
48
Not enough data
9.1
45
Agentic AI - Business Process Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Process Development
Not enough data
8.8
42
Agentic AI - Enterprise Content Management (ECM)
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
File Management
Not enough data
9.1
22
Not enough data
9.6
23
Not enough data
8.5
16
Not enough data
9.1
18
Not enough data
9.0
16
Not enough data
9.0
19
Not enough data
9.0
19
Not enough data
8.6
17
Not enough data
8.7
15
Not enough data
9.3
23
Not enough data
9.0
21
Not enough data
8.7
9
Workflow
Not enough data
9.5
19
Not enough data
9.3
19
Not enough data
9.3
20
Not enough data
9.2
22
Not enough data
9.3
16
Platform
Not enough data
9.2
12
Not enough data
9.3
21
Not enough data
8.9
19
Not enough data
9.2
17
Not enough data
9.3
20
Agentic AI - Vendor Management
Not enough data
Not enough data
Revenue Recognition
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Application Design
Not enough data
9.2
6
Not enough data
8.9
6
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
8.9
9
Data Control
Not enough data
9.7
6
Not enough data
9.5
7
Not enough data
9.8
7
Publishing
Not enough data
9.5
7
Not enough data
9.5
7
Not enough data
9.5
7
Agentic AI - Low-Code Development Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IBM Process Mining and NewgenONE Digital Transformation Platform are categorized as Process Mining
Unique Categories
IBM Process Mining has no unique categories
NewgenONE Digital Transformation Platform is categorized as Contract Lifecycle Management (CLM), Public Records Management, Customer Communications Management, Accounts Payable (AP) and Spend Analysis, Workflow Management, Document Scanning, Digital Process Automation (DPA), Robotic Process Automation (RPA), Low-Code Development Platforms, Enterprise Content Management (ECM), Business Process Management, Vendor Management, and Business Process Simulation
Reviews
Reviewers' Company Size
IBM Process Mining
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
NewgenONE Digital Transformation Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
21.3%
Telecommunications
15.5%
Computer Software
6.5%
Marketing and Advertising
5.8%
Internet
4.5%
Other
46.5%
Banking
37.1%
Financial Services
12.4%
Information Technology and Services
7.9%
Insurance
6.7%
Hospital & Health Care
3.4%
Other
32.6%
Alternatives
Discussions
How do IBM Process mining improves operational excellence
1 Comment
DK
Process Mining uses a data-driven approach to process discovery vs a traditional collaborative approach of mrocess modeling.
IBM Process Mining provides...Read more
IBM Process Mining has no more discussions with answers
NewgenONE Digital Transformation Platform has no discussions with answers
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