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Data Evolution: Harnessing the Power of Big Data Analytics to Drive Innovation

Authors: Kachhara, Garima; Kinana Bohra; Anuj Modi3; Ayushmaan Sharma; Patidar, Ajay; Aayush Panchal;

Data Evolution: Harnessing the Power of Big Data Analytics to Drive Innovation

Abstract

Organisations today must deal with a volume, pace, and variety of data that is unprecedented. This has brought about the growth of big data and the requirement for efficient data analytics approaches to get insightful information. In order to handle current difficulties and take advantage of opportunities across multiple disciplines, this research paper examines the importance of big data and data analytics. It examines how big data analytics might be used to improve operational effectiveness, decision-making processes, and consumer experiences. This study also looks at the procedures and equipment used to gather, store, analyse, and analyse big data. The paper shows the advantages, drawbacks, and ethical issues related to big data and data analytics through an extensive assessment of the literature that has already been written and case studies. Additionally, it covers how big data analytics will affect data governance, security, and privacy. This study seeks to provide light on the transformative potential of big data and data analytics in influencing company strategies and fostering innovation. To do so, it examines existing trends and future prospects. The study's findings help us grasp the potential and problems that big data presents, and they also lay the groundwork for future studies in this quickly developing area

Keywords

Data security, Data privacy, Data analytics, Volume, velocity and variety of data, Consumer experiences.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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