POSSIBLE APPROACH TO MODERNISE STATISTICAL SYSTEM OF BOSNIA AND HERZEGOVINA Cover Image

POSSIBLE APPROACH TO MODERNISE STATISTICAL SYSTEM OF BOSNIA AND HERZEGOVINA
POSSIBLE APPROACH TO MODERNISE STATISTICAL SYSTEM OF BOSNIA AND HERZEGOVINA

Author(s): Arijana Amina Ramić
Subject(s): National Economy, Business Economy / Management, Economic policy, International relations/trade, Evaluation research, Public Finances, Socio-Economic Research
Published by: Ekonomski fakultet u Sarajevu
Keywords: business process management; process-oriented approach; GSBPM; standardization; automation;

Summary/Abstract: National statistical institutes (NSIs) are currently facing many challenges: competition against the many producers of statistics, the emergence of new data ecosystems, and mounting pressure for cost-effectiveness and timeliness. In order to gain a sustainable competitive advantage, NSIs need to modernize their processes and technologies, increase skilled resources, tools, methods and standards, and adopt the best solutions to meet new demands. In process-oriented organizations the focus is on business processes and the improvement of interdepartmental and cross- functional interactions, with the goal of optimizing the execution of the whole procedure through a thorough understanding of end-to-end processes and the production system as a whole. One of the international standards supporting this modernization process is the Generic Statistical Business Process Model (GSBPM). Moving away from the current traditional state toward a more process-oriented organization is a complex, time consuming and costly effort, but the adaptation of international standards for business processes and the establishment of a coherent system would make NSIs more efficient in comparing and integrating international best practices and standards in the methodology, quality and IT fields, as well as in identifying further needs for harmonization and development. Modernization takes time, so even those NSIs which are the most committed to streamlining the processes have not yet fully completed statistical workflow management systems, end-to-end standardization and the automation of statistical processes.

  • Issue Year: 2017
  • Issue No: 35
  • Page Range: 137-167
  • Page Count: 31
  • Language: English