Objectives

The Participant:

• Gets an overview of the basics of data understanding and of typical data quality problems and their causes.

Content

• Terms and definitions - What is data understanding and data quality?
• Data understanding - what are typical steps and methods for examining the data?
• Data quality - what are typical data quality problems and their causes?
• Outlook - role of data quality for analysis.

Target Group

• Partner, who work with employees of the T- and M-division (especially planners and experts in the maintenance/production area, control engineers, process engineers, qualitiy specialists).

Good To Know

Recommendation:

• WBT - Basics Data Analytics (BIS_60_91340)
• Affinity for numbers, data and analytics.