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Real-Time Process Mining with QPR ProcessAnalyzer 2020.1

24.1.2020 11:18 / by Teemu Lehto    |    4 min read

With 2020.1 we are proud to present our enhanced real-time process mining functionality, which is compatible with all ERP systems and other data sources and ensures the analyses are always based on most recent data. QPR real-time process mining also supports single-data concept with modern ERP systems like SAP S/4HANA, making it possible to create the process mining model on-the-fly as a report directly from the then-current data in SAP. 

In addition to Real-Time Process Mining the 2020.1 also includes a nice selection of new pre-configured process mining charts.

Process Mining Analysis delivered On-The-Fly!

Background: Emma has built an impressive number of process mining models to cover all the main processes of her organization. She has also carried out a process mining training program so that more than 100 employees in her organization have turned into eager process mining enthusiasts using process mining models for RPA automation, process excellence, internal audit, supply chain management and driving digital transformation.

Challenge: After making the initial findings about processes Emma's colleagues start to continuously ask for more up-to-date process mining models:

  • Managers and team leaders are asking for Business Review Process Models to view the processes and KPIs for the previous review period immediately as it completes, whether it is quarter, month, week, day or a work shift. They want to identify most recent process bottlenecks, rework and long lead times. They are also eager to see the root causes so that they find corrective actions within their teams right away. These Business Review Process Models also need the 
  • Internal Audit is requesting company code specific models for audited processes. These Ad-Hoc Process Models should have the latest information concerning the audited business.
  • Customer service and logistics workers need access to most Customer Specific Process Models containing all ERP events related to customer sales orders, on-going projects and metadata changes. This information needs to be available when the phone rings or inquiry email needs to be solved.
  • Real-time Dashboard Screens are asked to be placed into the area. These screens show the current KPIs compared to targets as well as the current bottlenecks in the operations at this very moment. 
  • Operative managers from service desk and customer delivery teams are asking for Artificial Intelligence based Case-Level Prediction Models that show, based on previous process flow behavior, the probability of Customer ticket not meeting the SLA or customer delivery to be delivered late. These models are updated on agreed period, for example once per day as a tool for operative managers and teams for focusing their daily efforts and improving customer satisfaction.

Solution: Real-Time Process Mining powered by QPR ProcessAnalyzer 2020.1 is capable of delivering the process mining analysis on-the-fly for each of these use cases! In this blog article I will discuss about the full process mining model life-cycle and present the needed functionality. In the picture below we see the main three stages of process mining model creation: Extraction, Transformation and Loading:

  • Data Systems means the actual ERP systems containing data for process mining. In this stage the data is typically stored in databases, tables and files.
  • Extraction establishes the connection to the Data Systems. This stage makes the database, table and file data available for further processing.
  • Transformation is all about combining the data, joining tables together, linking events from multiple tables into cases and collecting case attribute and event attribute data. This stage converts the data into the event and case format used in process mining.
  • Loading performs the process mining analysis and provides the analysis results for users, automated applications and prediction engines.

Now it is time to dive into the technical details.  Feel free to jump over the details now and come back later when you are implementing a real-time process mining solution....or better yet, browse through this full blog to get an idea of needed technology component details:

Real-Time Process Mining with QPR ProcessAnalyzer_Overview

  • Data Systems means the actual ERP systems containing data for process mining. In this stage the data is typically stored in databases, tables and files.
  • Extraction establishes the connection to the Data Systems. This stage makes the database, table and file data available for further processing.
  • Transformation is all about combining the data, joining tables together, linking events from multiple tables into cases and collecting case attribute and event attribute data. This stage converts the data into the event and case format used in process mining.
  • Loading performs the process mining analysis and provides the analysis results for users, automated applications and prediction engines.

Now it is time to dive into the technical details.  Feel free to jump over the details now and come back later when you are implementing a real-time process mining solution....or better yet, browse through this full blog to get an idea of needed technology component details:

 

Read the whole blog

 

 

 

 

Topics: Process Mining, QPR ProcessAnalyzer, prosessien louhinta

Teemu Lehto
Written by Teemu Lehto

Process Mining evangelist active in marketing, sales, consulting, product development and research. Teemu has been involved in 200+ end customer process mining project from order-to-cash, purchase-to-pay, plant maintenance, auditing and service. Teemu is also an active speaker delivering the process mining message as well as writer for several process mining and machine learning scientific articles. Book a meeting with Teemu using the link: https://outlook.office365.com/owa/calendar/TeemuLehtoQPR@QPR.onmicrosoft.com/bookings/