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Improving data-driven decision making through data democracy : Case study of a Swedish bankAmerian, Irsa January 2021 (has links)
Nowadays, becoming data-driven is the vision of almost all organizations. However, achieving this vision is not as easy as it may look like and there are many factors that affect, enable, support and sustain the data-driven ecosystem in an organization. Among these factors, this study focuses on data democracy which can be defined as the intra-organizational open data that aims to empower the employees getting faster and easier access to data in order to benefit from the business insight they need without the interfere of external help. In the existing literature, while the importance of becoming data-driven has been widely discussed, when it comes to data democracy within organizations, there is a noticeable gap. As a result, this master’s thesis aims to justify the importance and role of the data democracy in becoming a data-driven organization, focusing on the case of a Swedish bank. Additionally, it intends to provide extra investigation on the role of data analytics tools in achieving data democracy. The results of the study show that there is a strong connection between the benefits of the empowering different actors of the organization with the needed data knowledge, and the speeding up of the data-driven transformation journey. Based on the study, shared data and the availability of data to a larger number of stakeholders inside an organization result into a better understanding of different aspects of the problems, simplify the data-driven decision making and make the organization more data-driven. In the process of becoming data-driven, the organizations should provide the analytics tools not only to the data specialists but even to the non-data technical people. And by offering the needed support, training and collaboration possibilities between the two groups of employees (data specialists and non-data specialists), it should be attempted to enable the second group to extract the insight from the data, independently from the help of the data scientists. An organization can succeed in the path of becoming data-driven when they invest on the reusable capabilities of its employees, by discovering the data science skills across various departments and turning their domain experts into citizen data scientists of the organization.
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Fyzická (in)aktivita a její dopad na zdraví stárnoucí populace - analýza dat studie SHARE / Impact of physical (in)activity on Health among Ageing population - analysis of the SHARE studyCsurillová, Michaela January 2021 (has links)
This diploma thesis deals with the influence of physical (in) activity on the health of an aging population using the data of the SHARE study. The first aim of the work was to find out which sociodemographic factors and health and lifestyle factors are related to the level of physical activity. Age and subjective health were found to be the most important factors related to the level of physical activity in the aging population. Another goal was to determine whether there is a relationship between the incidence of selected diseases (myocardial infarction, stroke, diabetes mellitus) and the level of physical activity. It has been shown that regular physical activity at least once a week reduces the risk of incidence of these diseases in an aging population. In the case of diabetes mellitus, even any physical activity reduces the risk of incidence of this disease. Key words: physical activity, health, ageing, SHARE data
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Nádorová onemocnění a zdravý životní styl: Socio-epidemiologická studie / Cancer and healthy life style: Socio-epidemiological studyCoganová, Klára January 2018 (has links)
The prevalence of cancer in the world continues to grow, faster in economically developed countries. According to current scientific knowledge, at least one third of cases could be prevented by adopting a healthy lifestyle. The present thesis therefore sought to analyze the prevalence of cancer in connection with the lifestyle of the European population, of 63,772 respondents of the SHARE study (The Survey of Health, Aging and Retirement in Europe) in fact. The work contains the theoretical description of the problem and the analytical part. The differences in the prevalence of the diseases of the respondents from 16 European countries were monitored in the empirical part. The relation between the incidence of cancer and the groups of diseases defined by alcohol consumption, smoking, obesity and the lifestyle of the respondents was analyzed by the method of binary logistic regression. The survey was expanded by the summarizing indicator of Healthy Lifestyle Index, compiled from smoking, alcohol consumption, physical activity, body weight, and consumption of fruit and vegetables. The analysis, among other things, showed that with the decline in the healthy lifestyle index, the risk of malignancy in both men and women increased and is more pronounced in males. Keywords: cancer, prevalence, healthy...
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