AI TOOL PROFILE
ARIS Process Mining: Process Intelligence Software
- Data and Analytics
- Analytics and Reporting
- Enterprise-level organizations
- Business analysts
- Process owners
- Companies using SAP, Oracle, or Salesforce
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though a free trial and demo booking are mentioned.
At a glance
- Best for
- Enterprise-level organizations, Business analysts, Process owners, Companies using SAP, Oracle, or Salesforce
- Key use cases
- Customer Experience Optimization, Supply Chain Analysis, Procure-to-Pay Improvement, Order-to-Cash Management, IoT Production Improvement
- Integrations
- SAP, Oracle, Salesforce, Microsoft
- Official website
- Visit aris process mining official website
How AI is used
ARIS Process Mining is an analytical platform that uses event logs from systems such as SAP, Salesforce, and Oracle to create a visual representation of how business processes function. It is designed to provide a data-driven view of operational workflows, reducing the reliance on manual process mapping.
The tool is intended for business analysts and process owners in sectors such as finance, supply chain, banking, and manufacturing. It helps users identify "shadow processes," find bottlenecks, and identify candidates for automation.
Buyers can choose from SaaS, Private Cloud, or On-Premise deployment. The platform includes a low-code/no-code interface, which is designed for business users rather than those with deep data science expertise.
Buyers should confirm if their current event logs are compatible and whether they require integrated task mining to capture desktop-level user actions.
Key Features
Automated Process Discovery
Reconstructs actual business processes from event logs to reveal how work happens without relying on manual interviews.
Conformance Checking
Overlays an ideal process model onto actual data to flag deviations, compliance risks, or unauthorized workarounds.
AI-Driven Root Cause Analysis
Uses machine learning to analyze why bottlenecks occur, identifying variables such as specific vendors or regional issues.
Task Mining Integration
Captures desktop-level actions, such as clicks and copy-pasting, to complement high-level process flow data.
Real Time Monitoring & Alerts
Connects to live ERP and CRM streams to provide dashboards and alerts when process KPIs trend in a specified direction.
Predictive ROI Simulation
Provides a digital sandbox to test process changes and estimate potential cost savings and throughput improvements.
Low-Code/No-Code Interface
An interface designed for use by business analysts and process owners.
Use Cases
Customer Experience Optimization
Identifying customer processes that take longer to resolve to help provide information at the right time.
Supply Chain Analysis
Analyzing logistical operations to identify weak links and support operational resilience.
Procure-to-Pay Improvement
Supporting procurement optimization by identifying payment term discrepancies and maverick buying.
Order-to-Cash Management
Analyzing data to help increase touchless orders and reduce order-to-delivery cycle times.
IoT Production Improvement
Identifying pathways in production to support increased throughput and lower costs.
Integrations
- SAP
- Oracle
- Salesforce
- Microsoft
FAQ
What is the difference between ARIS Process Mining and a BI tool?
- While BI tools report what is happening (e.g., sales figures), ARIS Process Mining visualizes how it is happening by mapping the actual sequence of events and bottlenecks.
How does ARIS support automation initiatives like RPA?
- It identifies stable, high-volume manual tasks through data mining, which may help businesses find candidates for Robotic Process Automation.
Who is the intended user for ARIS Process Intelligence?
- The platform is designed for business analysts and process owners, particularly those in finance, supply chain, banking, and manufacturing.
Source category: Data & Analytics
Source subcategory: Analytics & Reporting
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