From Internet Data to Trends: The Cloud-Powered Future of Social Media Analytics for Data Driven Decisions

In the time of digital transformation, social media analytics has grown to be very important for every business and researcher in order to understand user behaviour, marketing trends, and societal impacts of digital communication. This white paper describes how cloud computing technologies enhance the capabilities of social media analytics by focusing on data from major platforms such as Facebook, Google, YouTube, etc. We also delve in detail into the integration of predictive analytics to predict trends and behaviours. We discuss how large-scale social media data is processed, stored, and analysed on cloud services, the advantages of these technologies in terms of scalability, cost-effectiveness, and security, and the challenges faced in terms of data privacy and integration.

Authors

Publication Details

Journal
Journal of Technology and Systems
Published
2025-02-21
DOI
https://doi.org/10.47941/jts.2535
Citations
1
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.32
Controls
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article

From Internet Data to Trends: The Cloud-Powered Future of Social Media Analytics for Data Driven Decisions

Kranthi Godavarthi
1 citations
Journal of Technology and Systems
Complex Network Analysis Techniques
1.32
article

From Internet Data to Trends: The Cloud-Powered Future of Social Media Analytics for Data Driven Decisions

Kranthi Godavarthi
article en
1 citations

Abstract

In the time of digital transformation, social media analytics has grown to be very important for every business and researcher in order to understand user behaviour, marketing trends, and societal impacts of digital communication. This white paper describes how cloud computing technologies enhance the capabilities of social media analytics by focusing on data from major platforms such as Facebook, Google, YouTube, etc. We also delve in detail into the integration of predictive analytics to predict trends and behaviours. We discuss how large-scale social media data is processed, stored, and analysed on cloud services, the advantages of these technologies in terms of scalability, cost-effectiveness, and security, and the challenges faced in terms of data privacy and integration.

Journal of Technology and SystemsVol. 7(1)
Openalex Percentile: Top 22%
Complex Network Analysis Techniques
1.32
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