Automating Enterprise Decision-Making with Online Transaction Data
Keywords:
Real-Time Analytics, Enterprise Architecture, Automated Decision Making, Stream Processing, Business IntelligenceAbstract
In the data-driven economy, online transaction data represents one of the most valuable assets forenterprises seeking to enhance operational efficiency, customer experience, and strategic agility. This article explores a systematic f
References
Nicolaus Henke et al., "The age of analytics: competing in a data-driven world," Semantic Scholar, 2016. Available:https://www.semanticscholar.org/paper/The-age-of-analytics%3A-competing-in-a-datadriven-Henke-Bughin/41809d93ad57a7b2f93c0dcff5c3e563b97523fa
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Published
2025-12-16
How to Cite
Bramhanand Lingala. (2025). Automating Enterprise Decision-Making with Online Transaction Data. Journal of Computational Analysis and Applications (JoCAAA), 34(12), 460–474. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4416
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