Six Sigma Digital

Course Content

Large amounts of data, also known as "big data", are permanently generated in digitally value-added processes, for example by customers, by inexpensive sensor technology on newer systems, by mobile devices or modern identification technology in material flows.

Without a deeper understanding of process oriented problem solving, users are often not able to analyze data in a suitable manner and make it usable for the targeted process improvement.

This course will make you an expert in the interpretation and analysis of large amounts of data.

Target Group

This course is for Six Sigma Black Belts who want to develop their skills and their function as project managers, process owners or executives, especially with the analysis of cause-and-effect relationships and with digitization in general.

  • Dates

    by arrangement

  • Target Group

    suitable for Black Belts

  • Digitalisation

    current topic

  • Course Fees

    3.270,00 € (excl. VAT) p.P.

  • included services

    lunch and coffee break

  • included services

    you will receive the course documents
    at the beginning of the course

Digital big-data analysis to complement structured problem solving

The analysis and interpretation of large amounts of data opens up new possibilities in process improvement that go beyond the traditional Six Sigma approach.

The training will help you to control the data in your company (Business Intelligence). Furthermore you will be able to draw the correct conclusions from a large amount of data (Big Data) and get an overview of new digital tools.

For example, dashboards can be used to visualize aggregated data in real time. Rule-based algorithms enable autonomous control of complex process chains.

The methods of Big Data analytics tools differ significantly from the traditional statistical approach of experimental design: Big Data analysis searches for unknown cause-and-effect relationships without previously defined combinations of factors. This form of digital big data analysis expands the range of instruments for problem solving in complex processes in which, for example, classical statistical design of experiments is not feasible.

In the course the software Microsoft PowerBI® and Salford Predictive Modeler® will be used for big data analysis. This software will be provided for the duration of the training together with several case studies which cover typicall production and logistics topics.

Basics of machine learning and artificial intelligence will be covered in detail. Thereby the participant will acquire an understanding for the benefits and limitations of those methods.

Based on many practical examples the participants will learn how to prepare, analyse and classify large amounts of data, and how to statistically model possible cause-and-effect relationships of data. Predictive tools will help you to predict future process behavior. This can be used, for example, to reduce machine failures in maintenance or to improve the delivery reliability of transport services.

Certificate and examination

The participant will receive all the certificates from the CEC Saar in english and german language. After passing the examination, the participant will acquire 3 ECTS points which can be credited in subject-specific courses of study.


  • Certificate of attendance: The participant was present on all 5 days of the event

  • Six Sigma Digital Certification (3 ECTS): The participant was present on all 5 days of the course and passed the exam. The examination lasts 4 hours and is held on the last day of the course or on a day agreed with the participants.

Course Fees

The costs for the course amount to 3.270,00 € excl. VAT per person and include the block event of 5 days including seminar documents, lunch and coffee breaks and the examination fees.

Course Requirements

  • Prior knowledge Six Sigma: Six Sigma Black Belt

  • Laptop with statistics software Minitab (trial version available for the 1st training block)

  • English: A2, as the course material is in english

Course Schedule

The course consists of 1 block course of 5 days and takes place from Monday to Friday from 09:00 - 17:00 o'clock, or by arrangement with the participants. The dates for the Six Sigma Digital training in 2020 have not yet been fixed and will be arranged with the participants.

You will receive the course documents from us on the first day of the block event. The documents and the cours is in English, this way, participants will become familiar with the content and terminology of the internationally implemented Six Sigma concept. On request, it is also possible to hold the seminars of the Six Sigma Digital course in German.

The examination will take place on the last day of the event. A different date is also possible in agreement with the participants. The examination is a written test with a duration of 4 hours.

Six Sigma Digital Course Schedule

  • Big data and Six Sigma

  • Architectur of big data systemen

  • Visualization techniques for large data volumes, e.g. heat map

  • Dashboards

  • Ad-hoc analyses

  • Basics machine learning and artificial intelligence

  • Application of basic big data tools

  • Predictive analytics

Dates at a glace


The Six Sigma Digital training will take palce at the IPL - Institut für Produktions- und Logistiksysteme - Prof. Schmidt GmbH

IPL-Prof. Schmidt GmbH
Heinrich-Barth-Straße 32
66115 Saarbrücken

The training consists of one block of 5 days and takes place from Monday to Friday from 09:00 - 17:00 o'clock, or by agreement with the participants.