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Digitalisation and technical development in the financial service sector have aimed to secure, increase the quality, and satisfy the interests of both customers and financial institutions in the current turbulent era. Together with this situation, there is a need to develop digital employees’ competencies in the financial sector. This paper aims to analyse the topical issue of digitalisation and demand for employees’ digital skills in connection with the COVID-19 pandemic situation based on global secondary data and primary data collected by the authors in the Czech Republic. The main research objective of the paper is to provide a theoretical framework for digitalisation and its drivers in the financial sector, introduce the phenomenon of Banking 4.0 concerning the required competencies, and identify gaps and barriers for faster and more effective development based on the literature review and selected primary and secondary and data analysis. Descriptive statistics and Spearman’s rank correlation coefficient have been used to fulfil this goal. A semi-structured in-depth interview with three human resources (HR) specialists of a selected Czech bank also has been conducted. The paper brings an overview of the latest research studies in the field of digital competencies in general and specifically in the financial sector. Although the primary data is limited in scope (i.e. ten middle-sized and large financial and insurance companies), it provides a unique view of the situation with digitalisation in financial institutions. It shows current developments, trends and barriers within the example of a bank case study. The paper is motivated by the current situation in the banking sector in connection with digitalisation. It aims to emphasise the growing influence of digital technologies on employees, managers and companies, and the importance of systematically implementing digital skills development approaches on the companies’ strategic level.

Decisions based on data are crucial for the successful operation of modern companies. The fundamental part of decision making and knowledge creation is the business intelligence process. The effectivity of business intelligence tools depends on many factors. One factor of major importance is data quality. From the perspective of business intelligence data quality is related to multiple dimensions including those connected to the understanding of data. The aim of this paper is to improve the data understanding process in the existing typical business intelligence architecture by adding specific knowledge layers. An explicit data knowledge layer should be connected to the existing metadata layer. Data governance principles suggest setting up an ownership structure in data processes which also allows access to tacit knowledge. The practical value of the inclusion of the suggested knowledge layers in the existing business intelligence architecture is confirmed via a real business case study from the banking sector. The selected case study reflects the manner in which the current metamodel contributes to the big data phenomenon by improving its value element within the context of collaborative decision making in big organizations by using quality data that stems from tacit knowledge, and via a synergetic functionality of business intelligence and knowledge management.

Nowadays, many companies make a great deal of effort to take full advantage of digital transformation and stay ahead of their competitors. The influence of digitalisation on manpower development and human capabilities as well as on the business environment, in general, is especially noticeable in the construction and automotive sectors. That is why the main purpose of this paper is to evaluate the impact of new digital technologies on employee competency development in Czech construction and automotive companies. The quantitative methodology is based on primary data collection conducted from July through October 2020 using the CAWI method. As a result, 27 responses from Czech construction companies and 39 responses from Czech automotive companies have been gathered in Survio software, processed and analysed by using descriptive statistics and Pearson's chi-square test of independence. The qualitative data analysis applied in this paper includes three semistructured interviews with human resource managers of selected Czech companies in the automotive industry. The advantages and disadvantages of the Covid-19 pandemic situation from the point of view of human resource management and employee training have also been analysed in the presented case study. The findings in this paper confirm that creating a digitally ready workforce and changing the employees' mindset towards the new style of doing their jobs remain significant challenges to deal with in the Czech construction and automotive industries. Implications for Central European audience: This paper focuses primarily on the training and professional development of people employed in the construction and automotive sectors, which have been highly affected by the ongoing digitalisation of business and the current Covid-19 pandemic situation. As the results further demonstrate, the widespread use of digital technologies can definitely help to enhance employees' digital competencies. However, the employees still have to get used to a digitalised workplace. In such conditions, the role of human resource managers is key in the implementation of continuous training as part of the corporate culture.

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