QPR ProcessAnalyzer
by QPR Software · Process Mining
Process mining platform that mines ERP event logs to find bottlenecks and inefficiencies.
Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.
- Works with
SAPSAP S/4HANA
Oracle
Workday- Deployment
- Cloud, Hybrid, On-premise
- Company size
- Mid-market, Enterprise
- Pricing
- Quote-based
- Founded
- 1991
- Headquarters
- Espoo, Finland
Overview
QPR ProcessAnalyzer is a process mining platform from Finnish software vendor QPR Software (founded 1991, Nasdaq Helsinki-listed) that reconstructs how business processes actually run by analysing event logs pulled from ERP and other transactional systems. It supports both traditional case-centric process mining (single-case views like an individual order or ticket) and object-centric process mining (OCPM, built on the OCEL 2.0 standard) that models multiple interacting objects in one process, which QPR positions as its main technical differentiator versus older case-centric tools.
The platform is built to run natively inside Snowflake as a Snowflake Marketplace native application, analysing data where it already sits rather than extracting and copying it into a separate mining environment; QPR also offers cloud, hybrid and on-premise deployment for customers outside Snowflake. Core analysis workflows cover automated process discovery, conformance checking against BPMN 2.0 models, root-cause analysis (including LLM-assisted plain-language summaries of statistical findings), and a built-in BPMN 2.0 editor that can export the discovered as-is process into a formal model.
QPR reports 600+ completed process mining projects and documents customers including Sanofi, Wartsila, Piraeus Bank, Ericsson, Metsa Board, Erste Bank Poland, La Poste, YIT, KONE, ABB and Vattenfall, spanning pharmaceuticals, banking, manufacturing, marine/energy and retail. It was named a Visionary in the Gartner Magic Quadrant for Process Intelligence Platforms for the fourth consecutive year (2026 edition).
Features & capabilities
Process Discovery & Mining
Core mining engine that reconstructs real process flows from event log data.
- Case-centric process discovery (single-case views for orders, tickets, etc.)
- Object-centric process mining (OCPM) supporting the OCEL 2.0 standard
- Combined dual-view analysis switching between case-centric and object-centric perspectives
- Interactive process flowcharts and drag-and-drop dashboard creation
- Automation opportunity discovery combining process and task mining data
Conformance & Compliance
Checks real process execution against defined models and policies.
- Conformance checking against BPMN 2.0 process models
- Real-time deviation detection and process compliance monitoring
- Built-in BPMN 2.0 editor with automated as-is to BPMN export
- Real-time alerts via email, Slack, or webhooks on defined conditions
AI & Root Cause Analysis
Machine learning and LLM features layered on top of the mined event data.
- AI-powered root cause analysis to automatically identify drivers of process issues
- LLM-generated plain-language summaries of statistical findings for non-technical users
- MCP (Model Context Protocol) interface letting AI agents such as ChatGPT, Claude, and Copilot query process flows, bottlenecks, risks, and KPIs
- Automated weekly reporting on pattern changes in unstructured data (e.g., ticket systems)
Data Platform & Architecture
How the platform connects to and processes underlying transactional data.
- Native Snowflake application analysing data directly in Snowflake AI Data Cloud with no ETL or data copies
- Available on the Snowflake Marketplace with a 30-day free trial
- Unlimited data volume scalability
- Cloud, hybrid, and on-premise deployment options outside Snowflake
- ISO 9001 and ISO 27001-certified security
Governance & Modelling
Integration with QPR's broader process governance suite.
- Integration with QPR EnterpriseArchitect for end-to-end process governance
- Value realisation dashboards for before/after performance measurement
- Case-level operational dashboards with flagging for exceptions
Common use cases
- Mining SAP purchase-to-pay data to find approval-cycle and invoice-processing bottlenecks
- Mining order-to-cash processes across ERP systems to accelerate collections and reduce cycle time
- Replacing sample-based internal audit testing with full-population transaction analysis across a global ERP
- Analysing consumer loan or claims processing to find and quantify the biggest delay steps
- Standardising a global HR process (e.g., employee job changes) across multiple, disconnected SAP instances
- Monitoring SAP transformation/migration projects for process compliance and deviation during cutover
- Combining process and task mining data to identify automation candidates for RPA or AI agents
Strengths & considerations
Strengths
- Object-centric process mining (OCPM) built on the OCEL 2.0 standard, alongside traditional case-centric mining, in one product
- Native Snowflake application architecture: mines event data directly inside Snowflake with no ETL or data copying, available on the Snowflake Marketplace
- MCP (Model Context Protocol) interface exposing process flows, bottlenecks, and KPIs directly to AI agents like ChatGPT, Claude, and Copilot
- Long operating history (founded 1991) with 600+ documented process mining projects and Gartner Visionary recognition four years running
ERP integrations
Out-of-the-box connector for SAP ERP; used for purchase-to-pay, order-to-cash and audit analytics use cases
Documented as an out-of-the-box connector alongside SAP transformation/cutover monitoring use cases
Pricing
No published price list. A 30-day free trial is offered via the Snowflake Marketplace native application; direct trial/demo accounts are also offered from qpr.com. QPR markets itself as lower-cost than competing process mining platforms but does not publish specific price points. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- Snowflake-native application (runs inside the customer's Snowflake AI Data Cloud environment); also offered as cloud, hybrid, or on-premise deployment outside Snowflake
- Compliance
- ISO 9001, ISO 27001
About the vendor
- Founded
- 1991
- Headquarters
- Espoo, Finland
- Ownership
- Public (Nasdaq Helsinki: QPR Software Plc)
- Notable customers
- Sanofi, Wartsila, Piraeus Bank, Ericsson, Metsa Board, Erste Bank Poland, La Poste, YIT, KONE, Vattenfall, ABB
Alternatives to QPR ProcessAnalyzer in Process Mining
QPR ProcessAnalyzer — frequently asked questions
What is object-centric process mining (OCPM) in QPR ProcessAnalyzer?
OCPM is an approach that models multiple interacting objects (e.g., orders, deliveries, invoices) within one process view instead of forcing analysis around a single case ID. QPR ProcessAnalyzer supports OCPM on the OCEL 2.0 standard alongside traditional case-centric mining, and lets users switch between or merge the two perspectives.
Does QPR ProcessAnalyzer integrate with SAP?
Yes. QPR documents out-of-the-box connectors for SAP ERP and SAP S/4HANA, and publishes specific use cases around SAP purchase-to-pay analysis, order-to-cash, internal audit, and monitoring SAP transformation and cutover projects.
How does the Snowflake-native deployment work?
QPR ProcessAnalyzer is distributed on the Snowflake Marketplace as a native application that runs inside a customer's own Snowflake AI Data Cloud account, analysing event data where it already sits rather than extracting or copying it elsewhere. A 30-day free trial is available through the Snowflake Marketplace listing.
How is QPR ProcessAnalyzer priced?
QPR does not publish a price list. Pricing is quote-based, and the company positions its terms as more cost-effective than competing process mining platforms. Trial access is available directly from qpr.com and via the Snowflake Marketplace.
What AI features does QPR ProcessAnalyzer include?
The platform includes AI-powered root cause analysis that surfaces plain-language explanations of statistical findings, and an MCP (Model Context Protocol) interface that lets AI assistants such as ChatGPT, Claude, and Copilot query process flows, bottlenecks, risks, and KPIs directly.
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