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An Investigation of the Potential Benefits of Big Data in the Public Sector of Mauritius

Author

Listed:
  • Preethivirajsingh Mohabeer

    (Central Informatics Bureau)

  • Mohammad Issack Santally

    (University of Mauritius)

  • Roopesh Kevin Sungkur

    (University of Mauritius)

Abstract

This study examines how big data analytics could optimize the use of public funds while ensuring delivery of quality service by public organizations to the citizens of Mauritius. Political Economic Social Technological (PEST) analysis has been carried out to scan the environment to identify at least two major policies and initiatives corresponding to big data that will be impacting the Mauritian Economy in the next 10 years. Subsequently, causal layered analysis (CLA) has been applied for the two signals to create transformative spaces for the creation of alternative futures. Indeed, the findings have demonstrated that open data initiative and the implementation of e-health project in Mauritius would certainly contribute positively to the government of Mauritius. However, this study has revealed through a matrix diagram for probable futures that the Mauritian government should bring amendments to existing conventional laws through reforms and regulations to fully take advantage of big data analytics applications. This is also one of the recommendations of the Mauritius e-Government 2013–2017–Formulation and Implementation of Data Sharing Policy. Considering only the recent emergence of big data analytics in governments, still there is certain aspect of it that needs careful consideration before the full potential of big data could be realized. This research also highlights the factors that need to be addressed for the successful use of Big Data in this particular context.

Suggested Citation

  • Preethivirajsingh Mohabeer & Mohammad Issack Santally & Roopesh Kevin Sungkur, 2019. "An Investigation of the Potential Benefits of Big Data in the Public Sector of Mauritius," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(3), pages 1230-1247, September.
  • Handle: RePEc:spr:jknowl:v:10:y:2019:i:3:d:10.1007_s13132-018-0524-2
    DOI: 10.1007/s13132-018-0524-2
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