Leveraging Real-Time Data Analytics for Improved Cloud Business Intelligence

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Dr. Neeraj Saxena

Professor, MIT colleges of Management

Affiliated to MIT Art Design and Technology University,

Pune, India

neerajsaxena2000@gmail.com

Abstract

Real-time data analytics in cloud business intelligence (BI) has become a crucial asset for organizations seeking agility, insights, and competitive advantages in a rapidly evolving digital landscape. This paper explores the integration of real-time data analytics into cloud BI solutions, aiming to enhance decision-making processes and operational efficiencies. The research examines various methods and technologies involved in real-time data analytics, including data streaming, in-memory processing, and cloud-native tools, and evaluates their impact on BI outcomes. The findings highlight improved responsiveness, scalability, and data accessibility in cloud BI platforms empowered by real-time analytics.

Keywords

Real-time data analytics, Cloud Business Intelligence, data streaming, in-memory processing, cloud-native solutions, data-driven decision-making.

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