In this blog post, you will find out why Accounts Payable is a great process to analyze and improve with process mining. Process mining pinpoints what you should improve, and helps you monitor how your improvements affect lead times, compliance, and errors. This way, you can gain substantial cost savings, similar to our current customers:

• Metsä Board reduced the number of invoice corrections by 80 %
• Caverion discovered uninvoiced order lines worth € 17M
• Piraeus Bank reduced process lead times by 86 %
  
  

As the Order-to-Cash process is how organizations receives their cash, the volume of transactions is ideally very high in this process. A high volume of transactions makes the process very prone to errors and inefficiencies. However, this also makes the Order-to-Cash process an ideal target for process mining, as it brings transparency to the whole process. Moreover, it helps you identify root causes for problems (e.g. order changes) and look for ripe automation opportunities.

In this article, you will see what kinds of benefits process mining can bring to your Order-to-Cash process. In addition, I will share three practical tips on how to use QPR's process mining software, QPR ProcessAnalyzer, to help you improve your Order-to-Cash process.

Language Editions are here! QPR ProcessAnalyzer 2020.6 provides best-of-breed process mining functionality now in English, German, French, Spanish, Russian, Swedish, and Finnish. Read more about Language Editions, Conditional Formatting for Tables, Preview Mode for Dashboards, and the gallery of new Process KPI Reporting Charts.

Detect costly errors and fraud with the Four Eyes Principle, avoid violating Service-Level Agreements, and ensure accurate On-Time Delivery across all business areas with the new Process KPI Reporting features in QPR ProcessAnalyzer 2020.5. 

These ready-made process mining charts enable you to continuously monitor and report how well you follow both internal and external agreements. Together with the new conditional formatting for tables, they allow you to gain more in-depth insights into processes much faster than before - and easily communicate these fact-based insights to all stakeholders.

QPR ProcessAnalyzer 2020.4 provides predefined digital transformation charts, enhanced support for Process Mining Applications and several Expression Language Improvements. Read more to learn about these new functionalities that will improve your organization's process mining journey! 

The Purchase-to-Pay process - also known as PtP, procure-to-pay, or req-to-check - refers to business processes that cover requisitioning, purchasing, confirming, receiving, paying for, and accounting for goods and services.

As the transactional volume is extremely high and often quite complex in Purchase-to-Pay (with many different approvals, procedures requests and suppliers), each step within the processes is a potential source of errors. This makes Purchase-to-Pay a great target for process mining, which brings visibility to the entire end-to-end process and identifies root causes for problems (such as maverick buying) as well as automation opportunities.

In this article, you'll see how process mining helps to optimize the purchase-to-pay process with process mining and get 3 practical tips for how this is done with our process mining software, QPR ProcessAnalyzer.

In the constantly changing risk management landscape, we need to adapt quickly. Process mining does not only give you 100 percent coverage of your processes, but it can also picks up the unexpected event in the process, which traditional analytics cannot. In this blog post, I'll discuss how to achieve precise internal control, reactive approach to errors, identify and adapt to changes using QPR ProcessAnalyzer.

Thinking about applying process mining to your organization? In this blog post, you’ll find answers to the most common questions that we get from companies considering if, and how, they could use process mining software.

You'll find answers to questions such as: "We already use a BI system, why should we take another system into use?" and "What is required from us in order to use process mining software?".