Vol. 2 No. 2 (2023): The QUEST: Journal of Multidisciplinary Research and Development
Articles

Driving Business Success: Exploring the Implementation and Improvement of Big Data Analysis and Business Intelligence in Selected Companies in Zheijiang, China

  • Alexander Cochanco,
  • Zhao Zhenhuan
Alexander Cochanco
Nueva Ecija University of Science and Technology
Zhao Zhenhuan
Hangzhou Ruinan Information Technology Co., Ltd.
v2i2
DOI: https://doi.org/10.60008/thequest.v2i2.107

Published 12/30/2023

Keywords

  • Big Data Analysis,
  • Business Intelligence,
  • Challenges,
  • Enhancement Plan Development,
  • Implications

How to Cite

Cochanco, A., & Zhao, Z. (2023). Driving Business Success: Exploring the Implementation and Improvement of Big Data Analysis and Business Intelligence in Selected Companies in Zheijiang, China. The QUEST: Journal of Multidisciplinary Research and Development, 2(2). https://doi.org/10.60008/thequest.v2i2.107

Copyright (c) 2023 The QUEST: Journal of Multidisciplinary Research and Development

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

The study investigates the application and enhancement of big data analysis and business intelligence in selected companies in Zheijiang province, focusing on aspects such as business profile, adoption levels, benefits, implications, and challenges. Limited to selected companies in Zheijiang, the research aims to propose a tailored enhancement plan based on survey data. While it doesn't compare with other organizations and relies on self-reported data, the study delves into specific aspects of the selected companies, potentially requiring customization for wider applicability. Conducted from June to October 2023, the research utilizes a descriptive-quantitative design, emphasizing systematic data collection. With Zhejiang, China as the locale, 100 respondents from five companies are chosen through purposive sampling. A comprehensive survey questionnaire covers demographics, adoption levels, benefits, and challenges.

Results highlight the selected companies in Zheijiang's adaptability in Healthcare, Finance, and Marketing sectors, emphasizing strong data analytics for real-time insights and strategic decisions. The system excels in data accuracy, integration, governance, security, compliance, scalability, and skills development. Recommendations include cross-sector collaborations, continuous training, customer-centric strategies, addressing skills gaps, and fostering interdepartmental collaboration, ensuring the selected companies optimize strengths and foster innovation and adaptability.

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