Business Intelligence and Analytics: An Understanding of the Industry Needs for Domain-Specific Competencies

Business intelligence and analytics (BI&A) is a major discipline with strategic priorities for today's industries. In line with ever-changing technologies and business needs, core competencies (knowledge domains, skills, and abilities) for BI&A have constantly increased over time. From this perspective, domain-specific job postings can be regarded as an indicator in the analysis and understanding of the competencies. Taking into account the need for a qualified BI&A workforce in the near future, an empirical study on the job postings was conducted in order to analyze the core competencies. The methodology was based on semantic content analysis implemented by Latent Dirichlet Allocation (LDA), a generative method for probabilistic topic modeling. In a fine-grained level, five competency fields reflecting elementary scope of the knowledge domains and skills were revealed. The findings may provide valuable insights into the industry, academia, and BI&A communities.

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