Process Improvement
Achieve process excellence with data-driven process improvement
Process mining helps you create the best version of your company – based on facts, not guesses. Gain automatic, fact-based, and immediate visibility into all parts of your processes.
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View automatic visualizations of your current processes based on real-time information.
Find root causes for problems and efficiently allocate development resources accordingly.
Effectively implement changes and set up related metrics which you can communicate to any stakeholders.
Set up continuous process monitoring using process insight and utilize predictive machine learning.
Gain end-to-end process visibility
Process mining takes transactional data from any combination of source systems and automatically generates accurate and objective end-to-end flowcharts of your daily operations - without the need for extensive interviews, workshops and arguments.
Discover your as-is processes
Discover bottlenecks, process deviations, rework, and other hidden issues with process improvement applications that speed up your improvement journey tremendously.
Jump straight to problem-solving
Use the advanced root cause analysis in QPR ProcessAnalyzer to drill down to the heart of the problem and discover your first steps towards improving your processes.
Make data more accessible
There's no need to search for data from different sources. Process mining combines data from all of your systems conveniently into one place that can be accessed by any user - regardless of their technical background.
Shorten the raw data to insight cycle
Speed up your analysis process. Automatically extract clean data from your systems, which allows you to jump straight to analyzing and improving your processes.
Data Quality Application
Use ready-made process mining applications to see the quality of your data before jumping into further analysis in your process improvement project.
Featured Blog
Process Mining for Process Improvement
Process Mining is an excellent method for Continuous Process Improvement. In this blog, Process Mining VP and Doctor of Science Teemu Lehto discusses how to use process mining with the Deming cycle (PDCA) and BPM lifecycle to improve processes, get stakeholders on board, and create process excellence KPIs.
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What customers say about QPR ProcessAnalyzer
We are committed to delivering measurable results to our customers. Here are some of the results we've helped our customers achieve.
Discover the unbiased reality of your processes
- Put an end to lengthy process workshops, interviews, and arguments. Get everyone on the same page by automatically visualizing the real-life execution of your processes.
- See all process bottlenecks, inefficiencies, and variations and how they contribute to business outcomes.
Find hidden value in your business
- Find the cause of your problems and spot the most important improvement areas in any process with the comprehensive, industry-leading Root Cause analysis.
- See the top automation opportunities in priority order, benchmark automation rates across your organization, and simulate the impact of automation.
Let AI show you the way
- Optimize your operations through AI- and ML-based features that enable you to predict KPI performance and automatically initiate corrective action when things go wrong.
- Use business alerts and notifications to get immediate alerts about KPI breaches or broken business rules.
Operate securely on a scalable cloud platform
- Ensure secure process mining operations by ISO27001 certification, encryption, and SSO features.
- Get unparalleled scalability, performance, and security through Snowflake.
Featured Resource
Process Mining 101 - What is Process Mining?
When your employees or software robots interact with IT systems – such as SAP, Salesforce or Oracle - in your company, the activities leave a trace of data behind, referred to as an event log.
Process mining takes the data that exists in these information systems and uses it to visualize the real-life execution of your company’s processes together with other insights drawn from the event logs.
