International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

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Informative Article | Business Economics | India | Volume 10 Issue 7, July 2021 | Rating: 5 / 10

Real - Time Business Intelligence: Enabling Agile Decision - Making

Pranay Mungara [6]

Abstract: In the year 2001, agile methods were first introduced. In the period since then, practitioners have used Agile approaches across a wide variety of delivery disciplines. An examination of the ways in which Agile methodology and principles can be used to the delivery of business intelligence is presented in this article. Additionally, the study delves into the ways in which Agile has developed alongside the development of capabilities related to business intelligence. The exponential expansion in the amount of data generated by technologies such as the internet and smart devices has resulted in the development of business intelligence. This growth has modified the way in which individuals and businesses utilize information, which has led to the development of business intelligence. Despite the fact that the application of Agile principles and practices has evolved as a result of the development of business intelligence, the practice of delivering business intelligence using an Agile methodology has reached a mature development level. The phenomenon known as "Big Data, " which refers to the volume, diversity, and velocity of data, has had an impact on different aspects of business intelligence as well as the application of information. A number of novel concepts, such as data science and fast analytics, have recently come into existence within the realm of business intelligence. This article discusses the ways in which Agile concepts and practices have developed in conjunction with business intelligence, as well as the issues that it faces and the paths it will take in the future.

Keywords: Agile methodologies, business intelligence (BI), analytics and Big Data, lifecycle for BI and Big Data

Edition: Volume 10 Issue 7, July 2021,

Pages: 1543 - 1549

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