Optimizing Big Data Quality Management for National-Scale Projects: Strategies and Frameworks

Authors

  • Chinni Krishna Abburi

Keywords:

Data Quality, Technology, Frameworks, Strategy

Abstract

In today’s data-driven world, data has become a crucial factor in decision-making processes across various sectors, including business and government. Over the past two decades, the significance of data-driven decision-making has surged, leading to the emphasis on the collection, analysis, and quality of data. Data quality, characterized by its accuracy and availability, has a profound impact on all aspects of life. However, it holds particular importance in nation-scale projects, which are the subject of careful consideration by governments before making critical decisions. To ensure the success of these projects, maintaining the highest level of data quality is paramount. In this context, we will explore various strategies and frameworks that can assist nation-scale projects in achieving high-quality data and, consequently, enabling informed decision-making based on that data.

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References

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Published

12.06.2024

How to Cite

Chinni Krishna Abburi. (2024). Optimizing Big Data Quality Management for National-Scale Projects: Strategies and Frameworks. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 4811–4815. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7187

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Section

Research Article