Six Sigma

The objective of Six Sigma is the continuous improvement of products (including data), services (including analysis), and processes (business, data). Six Sigma stands for an ideally achievable precision, namely only 3,4 defects of 1.000.000 events (ie, minimum variability). The DMAIC phases stand for define ( D ), measure ( M ), analyze ( A ), improve ( I ) and Control / ( C , monitor) data and financial flows. Most important tools are the professional application of research methods and statistics. Generally, the main goal is: "To fulfill the customers' demands optimally and profitably." Six Sigma is generally used for:

• continuous improvement of products (including data), services (including analysis), and processes (business, data).
• customer-oriented data-led approach to identify process variations and thus to detect potentials for improvement.
• rule-guided problem-solving approach, oriented on statistical methods.
• insight-led approach for problem solving, instead of blind activism.
• sustainability of the solution.

Despite its charm, Six Sigma has also its limitations, for example:

• The central assumption of Six Sigma is, that the variability caused by process variations is directly related to the cause of the problem.
• An effective improvement of processes, services, and products requires a competent mastery of Six Sigma methods.
• The complexity of the business reality tempts often enough to choose to easy, thus unrealistic improvement approaches.
• If process variations also only indirectly related to the cause of problems, however, a limit of Six Sigma methods may have been reached.
• Six Sigma drivers also often try to install one or more Six Sigma roles to establish and maintain in a company. Not every management wants that.

We have already successfully applied Six Sigma approaches in several projects. If the customer was satisfied with the outcome, that is the result matched his company, his requirements, his data, we went over to the phases of Improve and Control. However, if the customer still wants a "more" of insight, not "deliverable" with Six Sigma, we resort to Advanced Analytics approaches, generally successful. Talk to us.