How to use data for managerial predictions

The course  How to use data for managerial predictions  is focused on the use of data and modern methods  for streamlining processes in organizations.

  • Under the guidance of an experienced lecturer, participants apply the content mainly using exercises and examples from practice.
  • Top lecturers  with experience and experts in their field.
  • High degree of satisfaction  of course participants .

  • Get an overview of a wider range of data-based methods that are used today for managerial predictions: from regression, through factor analysis, to neural networks.
  • Understanding the basic principles of artificial intelligence (computer learning) and how to use them in various situations, but mainly in the company’s production processes.
  • Strengthening the competence to “make more efficient” – from case studies, examples from practice and implementation procedures in the automotive industry.
  • Clarify the opportunities of the application in the field of action of the participants.


Advanced streamlining tools in practice

  • Prediction as an important competence of the manager in streamlining processes.
  • Overview of quantitative (data-based) prediction tools for managerial decision-making.
  • Correlation and regression analysis, including use in various areas of the manager’s work.
  • Multiregression analysis including examples from practice.
  • Analysis of the influence of factors and design of experiments (DoE).
  • A case study of DoE application in improvement.
  • Possibilities of use in your own organization.

Modern methods of streamlining processes using AI artificial intelligence

  • Predictions based on neural networks and learning algorithms / artificial intelligence.
  • Basic principles of computer learning (hands-on).
  • Current trends in the use of artificial intelligence in industry and services.
  • A sample and overview of more complex methods of computer learning (deep learning, etc.).
  • Use cases of the use of artificial intelligence in the future (examples).
  • AI software support, tools and services (overview).

Data for managerial predictions in the time of SMART technologies

  • Current possibilities to obtain data and their capability.
  • Big data – formats, storage, processing and overcoming related problems.

Online process control (OPC) and online process improvement

  • Statistical process control vs. online process management.
  • Immediate improvement and regulation of processes in real time.

We will provide you with more detailed information about the price, possible dates and training schedule at the e-mail address or at the phone number +421 2 54418 513.

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We will provide you with more detailed information about the price, possible dates and training schedule.

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