Data mining and Data Analysis using KNIME: Job satisfaction of Foreigners in Finland.

Abstract

The topic of job satisfaction is becoming a major concern for companies in recent years. The well-being of employee’s not only physically but mentally as well is crucial for a company’s better performance and public image. The rapid increase in globalization has affected Finland positively, as the country has a more diversified workforce, thus needing to adopt to more cultures and values.

This thesis aims to understand the general level of satisfactions foreigners in Finland have in their respective jobs. KNIME analytical platform has been used primarily to analyze the data. And the analyzed data has been written in an easy-to-understand format for readers.

This thesis covers the definition of job satisfaction, importance and how we can use data mining and analysis to determine how foreign employees in Finland are coping with working there.

The results of the findings explain and answer the research´s main and sub research question. The research also provides the current rating of 3 factors of job satisfaction, physical and mental health, personal growth and cultural fit.

This research aims to be useful for future studies in providing insight of the current job satisfaction and provide basis for comparing different factors and establish correlation to improve the job satisfaction of the current and future workforce.