The Role of Data Analytics in Digital Transformation Case Studies and Frameworks

Authors

  • GUTTA NAVEEN KUMAR Author

Keywords:

Data Analytics, Digital Transformation, Operational Efficiency, Customer Experience, Data Integration, Data-Driven Decision-Making, Business Intelligence, Data Governance, Digital Transformation Frameworks, Cross-Functional Collaboration

Abstract

Data analytics has become a cornerstone in digital transformation, enabling organizations to harness data for strategic decision-making, process optimization, and improved customer experiences. This paper explores the role of data analytics in driving digital transformation across industries, presenting case studies and frameworks that demonstrate its impact on enhancing operational efficiency, personalizing services, and accelerating innovation. By analyzing real-world applications, this research identifies best practices and key challenges, such as data integration, scalability, and maintaining data quality. The findings underscore the importance of a structured approach to data analytics in achieving successful digital transformation outcomes, emphasizing the role of leadership, data governance, and cross-functional collaboration.

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Published

2024-08-02