Search

Data analytics and predictive analytics are among major trends companies are facing worldwide. In a highly digitalised environment, it is not only to question the usage of data analytics but how analytically mature organisations are. The goal of this paper is to assess organisational maturity in predictive analytics of telecommunications companies in the country. In order to assess the level of organisational maturity in predictive analytics, we use Predictive Analytics Maturity Framework Assessment (PAMFA) (Capgemini, 2012), since it best describes maturity levels in the telecommunications sector. The method of analysis is based on interviewing managers with a questionnaire that guides respondents through all dimensions and levels proposed by the framework. According to the PAMFA five dimensions are analysed (Vision and strategy, Enablers, Competence, Deployment and Governance). For each dimension, four maturity levels are defined: Level 1: Impromptu, Level 2: Solo, Level 3: Ensemble and Level 4: Symphony (Capgemini, 2012). Survey results confirmed that analysed companies fully understand the benefits of predictive analytics as a valuable source of gaining competitive advantage from data. The overall level of predictive analytics maturity is set between levels 2 or 3 for almost all dimensions. This research is the first attempt to analyse organisational maturity in predictive analytics in the country. Its originality derives from the specific characteristics and development of the telecommunications sector. This sector is one of the most advanced service sectors in the country and hence represents a benchmark concerning digital transformation. Results of this survey provide useful information needed to design a roadmap for migrating towards higher maturity levels. [ABSTRACT FROM AUTHOR]

The impact of digitalization on the labour market is very complex and is manifested in different conditions for job creation and job protection, changed needs for occupations and skills, coping with skills mismatch and labour shortage etc. The aim of the research is to determine the possible implications of digitalization on the labour market in North Macedonia, by analyzing relevant labour market indicators and the results of employees' survey based on identified hypotheses. The analysis of the labour market indicators shows that despite the positive changes, the situation on the Macedonian labour market remains unfavorable i.e. low employment rates, growing skills mismatch and labour shortages in conditions of still high unemployment. The survey results indicate that the digitalization may not cause serious job losses, but it can lead to significant shifts in the employment structure (regarding sectors, occupations, skills, nature of jobs, pressure on the lower skill levels etc.). The influence of digitalization on the labour demand will depend on the employment sector and job profile, as well as on the investments in technology and relevant experience to use it. Also, digitalization could reduce the labour shortages caused by demographic ageing. The survey results show that digitalization will impose changes in the education and professional expertise, management style and organizational culture, as well as in trade union organizations. The findings of this research are meaningful for policy makers, state institutions, employers, trade unions and other stakeholders. The digitalization implies need for coherent approach of all involved parties in North Macedonia. [ABSTRACT FROM AUTHOR]