CUBE TECHNOLOGIES - EMPOWERING DATA-DRIVEN DECISION-MAKING IN THE MODERN ENTERPRISE

Authors

  • Ravitej Veeramachaneni Oracle, USA. Author

Keywords:

Cube Technologies, Multidimensional Data Modeling, Data Analysis, Data-Driven Decision-Making, Performance Optimization

Abstract

In today's data-driven landscape, the ability to extract meaningful insights from vast and complex datasets is paramount for informed decision-making. Traditional reporting technologies, while valuable, often fall short in addressing the challenges posed by modern data environments. Cube technologies, rooted in multidimensional data modeling, offer a powerful alternative that empowers users to explore, analyze, and visualize data with unprecedented flexibility and efficiency. This technical article delves into the key advantages of cube technologies over traditional reporting, highlighting their superior performance, adaptability, and user-friendliness, and positioning them as a transformative force in the data-driven era.

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Published

2024-10-23

How to Cite

Ravitej Veeramachaneni. (2024). CUBE TECHNOLOGIES - EMPOWERING DATA-DRIVEN DECISION-MAKING IN THE MODERN ENTERPRISE. INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND INFORMATION TECHNOLOGY (IJRCAIT), 7(2), 330-336. https://ijrcait.com/index.php/home/article/view/IJRCAIT_07_02_025