Interactive Header for Filtering and Root Cause analysis in QPR ProcessAnalyzer 2019.9

QPR ProcessAnalyzer 2019.9 introduces Interactive Filtering and Root Cause analysis directly from the header for super easy process mining analysis. New Interactive Header is the new control center from everyday process mining analysis to more advanced multi-level filtering and root cause analysis.

2019.9 also introduces the table formatted Root Cause analysis for custom Key Performance Indicators.  With QPR ProcessAnalyzer you can provide a full Root Cause analysis for any KPI currently included in your BI reporting application - providing the business users a drill down to actual process problems. Other major features introduced in 2019.9 include Dashboard Filtering for Case Attributes and pre-configured process mining charts.

Interactive Header for Filtering and Root Cause analysis

New QPR ProcessAnalyzer user interface with advanced multi-window analysis view is here! :)

This is what you can expect:



The Interactive Header shown in the above picture has these generic elements:

Screen captured picture below show the main components for the new Interactive Header. From left to right:

  • Dashboard home button giving instant access to dashboard library containing pre-built and customized dashboards
  • Select View drop-down for easy navigation between process mining functionalities like Process Discovery, Conformance Checking, Enhanced BPMN, Clustering, Predictions etc.
  • Select Model drop-down for easy selection of process mining model allowing one-click navigation between business processes
  • Statistics area for quick summary of most important process KPIs with tool-tips showing additional details
  • Filter Rules area for creating, modifying and removing filters to guide drill-down analysis allowing identification of process mining problems. 
  • Root Cause Rules for discovering root causes for process problem. Multiple criteria can now be added to root cause rules very easily.

Interactive Header controls are shown in this picture:



With the new Interactive Header it is easy to:

  • Create new filter rules to define the scope for all visible charts, KPIs and analyses within your dashboard
  • Easily see the current filter rules with full details directly in the report header
  • Start root cause analysis directly from the view header
  • Add multiple components to root cause analysis, allowing queries like: "Why Deliveries in Dallas are taking more than 10 weeks", where the system shows root causes for long deliveries in the Dallas compared to other deliveries.


Case Attribute Root Cause analysis for KPIs

KPI analysis

Every large organization is following several Key Performance Indicators (KPIs) - typically using pre-built and ad-hoc reports in their BI reporting systems as well as manual Excel sheet analyses. However, the challenge with these existing reports is that they do not provide possibility for process based root cause analysis. If for example the delivery of goods to customer is sometimes taking a long time and the delivery is not done in time, then it would be great to learn the root causes for these problems so that the process can be improved. Case Attribute Root Cause Analysis analysis for KPIs is exactly this - and now supports free custom KPIs using the QPR ProcessAnalyzer expression language! This means that you can add root cause analysis drill-down to any existing KPI you have in your reporting application - user just clicks on the link in the reporting application and gets instant access to process mining root causes - voila!

The picture below is both process flow and case attribute root cause analyses for the KPI "case duration in weeks in 12 weeks or more":


Dashboard Filtering for Case Attributes

It is possible to create fully customized analysis and reporting application using the QPR ProcessAnalyzer Views. In 2019.9 we have added more easy-to-use logic for making the views including a new visualization called "Case Attribute Filter".  Choosing this option let you t create easy-to-use drop-down selection controls showing possible values for any given case attribute with the amount and share of those values. The picture below shows this control in action: New York has been selected as the Region including 25.4% of the cases (~2 700 cases).


Pre-configured Process Mining Charts

QPR ProcessAnalyzer 2019.9 is shipped with pre-configured process mining charts for typical process mining tasks including:

  • Top Variations showing most typical process variations
  • Bottleneck Flows showing problematic flows based on lead time, volume and deviation.
  • End-to-end Durations showing the whole case duration from first event to last event
  • Duration between Events showing the lead time between the selected two events


This is the new QPR ProcessAnalyzer 2019.9! I hope you are as excited as me! If you’re already using QPR ProcessAnalyzer, go ahead and try these new features out when you get a chance. If not, and if you’re new to Process Mining, read more on this page. If you want to know more about QPR ProcessAnalyzer, go here. Also, don’t hesitate to book a live QPR ProcessAnalyzer demo:

On Tuesday, 17.12.2019, 1:00-1:30 PM EET, we will hold a Release Webinar to introduce and explain more about these updates. Register here!

It’s a good time to take a look at Process Mining if your company hasn’t already. Capabilities and usability of Process Mining software are improving rapidly and the market is quickly becoming mature, though there’s still much work to be done. If you think your company is ready to step it up with the future of as-is process modeling and process efficiency maximization, the fastest way to get things moving is to send our Process Mining team a direct message:

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Written by
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Teemu Lehto

Dr. Teemu Lehto, holding a Ph.D. in process mining, has spent more than two decades advancing the field of Digital Twin of an Organization (DTO). Teemu has helped hundreds of companies achieve unprecedented visibility into their business operations throughout his career. With a passion for this field, Teemu’s mission is to empower organizations to make data-driven decisions, optimize processes, and discover untapped potential within their businesses.

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