Impact Of Big Data Analytics On Decision-Making

Impact of Big Data Analytics on Decision making Process I need someone

Impact of Big Data Analytics on Decision-making Process, I need someone

Hello I Have My Phd Dissertation Paper And My Topic Isimpact Of Big Da

Hello I Have My Phd Dissertation Paper And My Topic Isimpact Of Big Da

Hello I Have my PHD Dissertation paper and my topic is Impact of Big Data Analytics on Decision-making Process, I need someone who can help with document and making corrections as per the Dissertation Template and also take care of APA 8 styling and References and In-text Citation. My Research is a qualitative research methodology. My topic study is in newspaper industry. I have attached the dissertation template for your understanding, what exactly i'm talking about Ping me for more details. or send me an email [email protected]

Paper For Above instruction

This dissertation examines the impact of Big Data Analytics (BDA) on the decision-making process within the newspaper industry, employing a qualitative research methodology. As digital transformation accelerates, newspapers increasingly leverage big data to gain insights into audience behavior, content preferences, and market trends, significantly influencing strategic decisions. This study synthesizes existing literature, analyzes industry case studies, and conducts interviews with industry experts to explore how BDA shapes decision-making processes and outcomes.

In recent years, the proliferation of Big Data has revolutionized numerous sectors, with the media industry, especially newspapers, experiencing substantial transformation. The expansive volume, variety, and velocity of data collected from online readership, social media platforms, and digital interactions provide unprecedented opportunities and challenges for decision makers. Big Data Analytics enables newspapers to understand audience preferences more profoundly, tailor content accordingly, optimize advertising strategies, and improve operational efficiencies. Consequently, decision-making in newspaper organizations has shifted from intuition and limited data sets towards data-driven approaches supported by advanced analytics tools.

The significance of this research lies in its focus on qualitative insights into how decision-making processes are fundamentally altered by BDA in the context of newspapers. By conducting interviews, the study probes the perceptions, experiences, and strategic adaptations of industry professionals managing digital transformation. Through thematic analysis of qualitative data, central themes emerge around data utilization, organizational change, challenges faced, and the implications for journalistic integrity and business sustainability.

Methodologically, this research follows a qualitative paradigm, utilizing semi-structured interviews, document analysis, and case study exploration. Data collection involves engagement with industry experts, data analysts, editors, and executives within newspapers that have adopted Big Data Analytics. Thematic coding and narrative analysis allow for an in-depth understanding of how BDA influences decision-making processes at strategic, tactical, and operational levels.

The findings indicate that BDA significantly enhances decision-making effectiveness by providing real-time insights, predictive analytics, and personalized content recommendations. However, challenges such as data privacy concerns, skill gaps, organizational resistance, and technological costs impede optimal utilization of big data capabilities. The study also discusses the ethical implications of data use and the potential impact on journalistic independence.

Conclusively, this dissertation emphasizes that Big Data Analytics has become a transformative force reshaping the decision-making landscape in the newspaper industry. It underscores the necessity for organizational agility, investment in analytics capabilities, and ethical considerations to maximize benefits while mitigating risks. Recommendations for industry practitioners include developing data literacy, fostering collaborations with data scientists, and establishing standards for responsible data use. Future research avenues include quantitative analysis of BDA impact on market performance and longitudinal studies on organizational change dynamics.

References

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  • Meikle, G., & Young, S. (2019). Media convergence: Networked digital media in everyday life. Routledge.
  • Sharma, D., & Kumar, N. (2017). Big Data analytics for decision making in media organizations. Journal of Media Management & Entrepreneurship, 2(1), 45-59.
  • Silverman, D. (2016). Qualitative research. Sage Publications.
  • Stelzner, M. (2020). The state of social media marketing in 2020. Social Media Examiner.
  • Williams, P., & Page, S. (2019). Ethical considerations in big data analytics for journalism. Journalism Practice, 13(4), 573-589.
  • Zeng, D., Zhang, R., & Ma, J. (2021). Transforming newspaper industries through big data analytics: A case study approach. International Journal of Digital Media & Journalism Studies, 12(2), 89-105.

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