American Journal of Scholarly Research and Innovation Research · December 24, 2022
Show publication 🔗This publication presents a comprehensive systematic review of the roles played by SQL and Excel in enabling data-driven decision-making (DDDM) for aspiring analysts. It explores how these essential tools support business intelligence processes, facilitate data organization, and enhance decision quality across industries. The study highlights practical applications and comparative insights that bridge the gap between technical capabilities and strategic outcomes in modern data-centric environments.
📄 Published in the American Journal of Scholarly Research and Innovation Research
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American Scholarly Publishing Group Inc Research · December 19, 1923
Show publication 🔗This peer-reviewed systematic review explores the impact of AI-powered sentiment analysis in enhancing digital marketing strategies, with a focus on customer feedback loops in IT services. By analyzing 87 scholarly articles (2010–2024) across AI, NLP, and marketing, it evaluates the performance of traditional models (e.g., SVM) and advanced deep learning methods (e.g., LSTM, BERT). The study highlights real-time decision-making, automation, and sentiment-driven content optimization, while also addressing challenges such as data ethics, transparency, and the underuse of internal enterprise data. It offers a roadmap for responsible and effective AI integration in service-based digital marketing.
📄 Published in the American Scholarly Publishing Group Inc Research
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International Journal of Scientific Interdisciplinary Research Research · March 19, 2025
Show publication 🔗In this study, we examine how tools like Trello, Asana, Jira, and other digital platforms influence project delivery efficiency in remote working environments. The research offers insights into how effective project management tools can enhance team coordination, streamline workflows, and reduce delivery delays in distributed tech teams.
📄 Published in the International Journal of Scientific Interdisciplinary Research Research
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Journal of Sustainable Development and Policy Research · July 17, 2025
Show publication 🔗Digital twins are removing the limitations of the utility industry, such as power and water utilities, in terms of cost, time, and downtime, and the power utility segment is estimated to dominate the market during the forecast period. Europe and Asia-Pacific are the most prominent regions for digital twin utility, because the developing economies are facing the challenge of legacy systems. The future of digital twin utility lies in the fog computing, artificial intelligence, and cloud computing, therefore the digital twin market is facing the challenge of data and security. Digital twin for utility will play a vital role in the transformation of the utility sector, thus the industry is expected to grow significantly.
📄 Published in the Journal of Sustainable Development and Policy Research
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