Overview
What is QPR ProcessAnalyzer?
QPR ProcessAnalyzer is a process mining software that automatically generates process flowcharts and important KPIs based on the data extracted from an organization’s IT systems. Based on the latest patented technology and advanced algorithms, QPR ProcessAnalyzer extracts and reads the time…
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Product Details
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What is QPR ProcessAnalyzer?
QPR ProcessAnalyzer is a process mining software that automatically generates process flowcharts and important KPIs based on the data extracted from an organization’s IT systems.
Based on the latest patented technology and advanced algorithms, QPR ProcessAnalyzer extracts and reads the time stamps used to record specific events along an organization’s procurement and/or supply chains, ranging from but not limited to taking an order, sourcing goods, transporting them to the customer, and receiving payment.
The process mining software then visually models these time stamps in such a way that allows users to instantly identify deviations from an ideal process flow – to find the root cause of a problem that is costing money or restraining the growth of your business.
QPR ProcessAnalyzer Screenshots
QPR ProcessAnalyzer Video
QPR ProcessAnalyzer Integrations
- SAP ERP, ECC
- Oracle Fusion Cloud ERP
- Salesforce Sales Cloud
- Epicor Kinetic
- ServiceNow IT Service Management
- IFS Applications
- Microsoft SQL Server
- M‑Files
- Microsoft Dynamics 365 for Finance and Operations (formerly Dynamics AX)
- Microsoft Dynamics 365 Business Central (formerly Dynamics NAV)
- Infor M3
- XES
- CDK AutoMaster
QPR ProcessAnalyzer Competitors
QPR ProcessAnalyzer Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
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Operating Systems | Windows, Linux, Mac |
Mobile Application | Apple iOS, Android, Windows Phone |
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QPR ProcessAnalyzer has proved to be an indispensable tool for businesses looking to streamline their operations and identify areas that require improvement. Customers have reported being able to use the software’s detailed information to assess their business processes, identifying potential inefficiencies and bottlenecks.
By providing insights and end-to-end process visibility, QPR ProcessAnalyzer empowers users to digitize and simplify their daily operations and application support effortlessly. Customers have been able to track EDI sales orders on the O2C side, enabling them to pull different data points for selected transactions. The software is used to review processes from beginning to end, allowing users to find bottlenecks, improve processes, and measure process statistics based on ERP data. Additionally, customers have implemented potential improvements across multiple platforms such as Purchase to Pay, making the toolset a go-to choice for businesses looking for solutions that can drive meaningful results.
Flexibility in Model Adjustments: Reviewers appreciated the flexibility of QPR ProcessAnalyzer's model adjustments, with several stating that it allows for quick changes and real-time deployment.
Easy Dashboard Creation: Many users found QPR ProcessAnalyzer to be an excellent tool for creating professional dashboards with intuitive visuals. They appreciated the extensive dashboard tools and ability to create complex charts with ease.
Powerful Analysis Capabilities: Several reviewers noted that QPR ProcessAnalyzer offers powerful analysis capabilities, including AI and machine learning predictions, clustering-based analysis, and easy visualization of ERP data.
Lack of IntelliSense in Script Builder: Some reviewers have reported that the script builder of QPR ProcessAnalyzer lacks IntelliSense, which makes debugging scripts slow.
Limited Data Access for Hosted Solutions: Several users have stated that access to data for hosted solutions is limited, making it difficult to find data extraction anomalies.
Complicated Model Development Depending on Source System: The development of QPR models can be complicated, as reported by multiple reviewers. This is especially true if the user does not have in-depth knowledge of the table structure of the source system.