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Ressource Area

MPM's Ressource Area offers an abundance of content to fit your interesests: e. g. infographics and use cases - specially curated for you by our Process Mining experts.

Case Study: Ferdinand Bilstein

Case Study: Ferdinand Bilstein

16. Oktober 2020

In particular, Material Master Data Management (MMDM) significantly impacts the core value creation processes of industrail companies and therefore plays an important role at bilsteingroup. Typical challenges in the creation & change process of material master data are…

Case Study: CeramTec

Case Study: CeramTec

16. Oktober 2020

In search of an agile analysis solution to achieve process transparency – over various manufacturing steps – in production and quality management the client chose to implement MPM ProcessMining. Besides the associative engine and high-performance In-Memory data management based on the integrated Qlik® technology, the fulfilment of the following objectives was essential…

Case Study: E.ON

Case Study: E.ON

16. Oktober 2020

In search of a powerful solution for the analysis of actual processes in the area of purchasing and accounts payable, the MEHRWERK customer has chosen MPM ProcessMining. Besides the certified connectivity to SAP® and powerful In-Memory data management based on the integrated Qlik® technology, the fulfillment of the following objectives was crucial…

Case Study: Siemens Healthineers

Case Study: Siemens Healthineers

16. Oktober 2020

The agile process mining technology based on the Qlik® platform enables Siemens to quickly perform ad-hoc-analyses of event logs and context information in order to identify the causes of long lead times, process deviations and bottlenecks. The applications are also used to further advance…

Case Study: UDI

Case Study: UDI

16. Oktober 2020

In search of a powerful solution for the analysis of actual processes in the area of immigration management, UDI has chosen MPM ProcessMining. As the Public Authority was already using Qlik® as a BI tool throughout the organization, choosing MPM meant that they could integrate Process Mining into their already existing BI platform and strategy with ease…

Infographic: Successful RPA in 4 Steps

Infographic: Successful RPA in 4 Steps

1. Oktober 2020

Want to learn how to achieve high quality process automation with Process Mining and RPA? Then follow the 4 steps in our infographic…

Infographic: 6 Process Performance Indicators in Purchasing

Infographic: 6 Process Performance Indicators in Purchasing

1. Oktober 2020

Important parameters of process efficiency are process time, adherence to schedules, process quality and process costs. We have put together six PPIs that are important for decision-making in the procurement process…

Infographic: 7 Process Performance Indicators in Sales

Infographic: 7 Process Performance Indicators in Sales

1. Oktober 2020

Important parameters of process efficiency are process time, adherence to schedules, process quality and process costs. We have put together seven PPIs that are important for decision-making in sales….

Infographic: 6 Process Performance Indicators in Production

Infographic: 6 Process Performance Indicators in Production

1. Oktober 2020

Important parameters of process efficiency are process time, adherence to schedules, process quality and process costs. We have put together six PPIs that are important for decision-making in the production process…

Infographic: 5 Questions concerning Process Mining in eCommerce

Infographic: 5 Questions concerning Process Mining in eCommerce

29. Juli 2020

Understanding the customer journey behind individual clicks is an indispensable discipline for eCommerce. A more integrated view of processes is often required to understand the customer journey. Process Mining in combination with traditional web tracking offers a holistic solution to understand customers in a digital manner. We‘ve got the answer to some of the questions that might be concerning you…

White Paper: How to harmonize low-level and high-level Process Perspectives

White Paper: How to harmonize low-level and high-level Process Perspectives

6. Mai 2020

With more and more customers from various industries adapting MPM Process Mining, one challenge became really clear: visualizing processes in an adequate manner for every single interested stake holder. This white paper is supposed to grant an overview on the very common challenge of different perspectives in process mining projects to provide a solution approach that is easy to be implemented in most use cases.

Infographic: The MPM Process Mining Guide

Infographic: The MPM Process Mining Guide

27. April 2020

How does Process Mining work?
Most IT systems generate „digital data tracks“, e.g. in the form of log files or change logs. These systems form the basis for Process Mining, because they contain timestamps of individual activities and information about what was done by whom. The MPM Process Mining Guide provides you with a step by step explanation of process analysis with Process Mining.

Infographic: Process Mining’s Grey Matter – 7 special Fields of Application

Infographic: Process Mining’s Grey Matter – 7 special Fields of Application

15. März 2020

You have Data with Time-Stamps?
So off you go! Process Mining relies on digital traces that are left behind by all software systems. Provided such data exists, processes can be visualized and made tangible with Process Mining. There are no limits to the possibilities of analysis and the resulting potential for improvement.

ABOUT MEHRWERK

As founder of MPM ProcessMining, Qlik® Elite Solution Provider and SAP® Gold Partner with more than 250 customers, MEHRWERK delivers powerful process mining and professional business analytics applications. Customers benefit significantly from the unique combination of market-leading business intelligence technology and process mining. MPM ProcessMining enables process mining, classic BI/reporting and self-service process mining with the unique advantages of Qlik® technology on the basis of a single software platform. Thanks to the modular structure and the ready-made business content, meaningful analysis and dashboard applications can be created in the shortest possible time - from individual applications to company-wide use. Agile project methodology enables classic BI applications (e.g. CRM and SCM with Qlik® SAP® Sales- & Purchase-Cockpit) as well as process mining scenarios / process analyses over the entire value chain (e.g. order-to-cash & purchase-to-pay) to be realized in a short period of time for all company divisions. Other application scenarios include price analyses, production controlling, e-commerce & web analyses, customer journey as well as process costs analytics etc. Close cooperation with customers ensures long-term project success.