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Big Data: Potential, Challenges, And Implications In Official Statistics

Author

Listed:
  • Ogerta Elezaj

    (Faculty of Economy, University of Tirana)

  • Dhimitri Tole

    (Faculty of Economy, University of Tirana)

Abstract

The data explosion called “data deluge”, is already starting to transform public institutions redefining their way of producing statistics in response to Big Data. The use of Big Data is considered as an innovation in the production of official statistics facing a range of opportunities, challenges and risks. This “data deluge” requires a number of challenges to be addressed in various domains: technological, legal, methodological, and statistical. Even though big data is changing the paradigm of producing statistics in many public organizations, an open debate still exists involving both IT specialists and statisticians of national statistical institutions. In this paper we will provide an overview regarding the concepts of Big Data as a data source in production of official statistics by government institutions with the main focus on providing a synoptic overview of opportunities, challenges and risks. Following this, in the next section we will analyse a case study related to the potential use of mobile positing data, and how this data could be used to produce national statistical indicators in the country. This study serves as an example to identify some critical issues on challenges and risks, draw conclusions and give recommendations on the proper ways to shift to Big Data paradigm usage in the government sector in Albania.

Suggested Citation

  • Ogerta Elezaj & Dhimitri Tole, 2018. "Big Data: Potential, Challenges, And Implications In Official Statistics," CBU International Conference Proceedings, ISE Research Institute, vol. 6(0), pages 95-99, September.
  • Handle: RePEc:aad:iseicj:v:6:y:2018:i:0:p:95-99
    DOI: 10.12955/cbup.v6.1139
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    More about this item

    Keywords

    big dataofficial statistics; tourism statistics; mobile position data;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

    Statistics

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