Beyond the Data Lake: Harnessing Real-Time Analytics and Automation for Dynamic Decision-Making

Authors: Shafeeq Ur Rahaman

DOI: https://doi.org/10.5281/zenodo.14352006

Short DOI: https://doi.org/g8t7mj

Country: India

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Abstract: The revolution going from traditional static data lakes to agile, real-time analytics engines that is really changing how organizations derive value from their data. Advanced integration of real-time analytics with automation in dynamic decision-making is discussed in this article. Using real-time streaming of data, machine learning algorithms, and intelligent automation, the raw data transformation into actionable insights can be facilitated for organizations in real time. These are the very latest innovations that enable companies to make business operations more efficient, significantly enhance customer experiences, and gain a competitive advantage over their rivals. Real case studies from different industries showcase how this shift toward real-time analytics works in reality and what benefits it presents. Furthermore, this paper discusses various challenges when transitioning to real-time analytics in the realms of data governance, scalability, and cost consideration, with proposition strategies to help resolve these issues. The findings came quite the opposite from expectations, yet they point to a critical role of real-time analytics and automation, shaping the future of data-driven decision-making

Keywords: Real-time analytics, data lakes, automation, dynamic decision-making, machine learning, actionable insights, data governance, operational efficiency, real-time data streaming, intelligent systems.

Paper Id: 231787

Published On: 2019-09-03

Published In: Volume 7, Issue 5, September-October 2019

Cite This: Beyond the Data Lake: Harnessing Real-Time Analytics and Automation for Dynamic Decision-Making - Shafeeq Ur Rahaman - IJIRMPS Volume 7, Issue 5, September-October 2019. DOI 10.5281/zenodo.14352006

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