International Journal of Network and Communication Research (IJNCR)

EA Journals

Breaking Down Silos: Integrating Big Data Across Organizational Functions


In the era of pervasive digital transformation, organizations are amassing vast amounts of data from diverse sources, creating a potential goldmine of insights. However, the challenge lies not only in the accumulation of data but in breaking down the silos that often hinder its effective utilization. This research paper delves into the critical issue of integrating big data across various organizational functions. The paper begins by examining the prevalent siloed structures within organizations, investigating how these silos impede the seamless flow of information and hinder collaboration. It then explores the transformative potential of integrating big data across departments, emphasizing the need for a unified approach to data management. Case studies and real-world examples illustrate successful instances of breaking down silos and fostering cross-functional collaboration through the strategic use of big data. The research also addresses the potential benefits of breaking down silos, including enhanced decision-making, improved operational efficiency, and innovation. Moreover, it examines the impact on employee engagement and satisfaction when data is readily available and accessible across functions.

Keywords: Big Data, Collaboration, Cross-Functional Teams, Cross-Organizational Insights, Data Sharing, Holistic Data Approach, Integration, Interdepartmental Communication, Organizational Functions, Seamless Data Flow, Silo Breakdown, data integration

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