A Comparative Analysis on Various Business Intelligence (BI), Data Science and Data Analytics Tools

Abstract

Data plays a very important role in the growth of any type of business since through analyzing the data, the structure of further work and proper planning and execution can be made. Decisions based on data have a high probability of success and will help in growing the business. Business intelligence as well as data analysis helps in analyzing the data in order to gain insights on the dilution. Both Business Intelligence and data science revolve around data. While data science is the larger pool that contains more information, it can be considered as part of the larger picture. In addition, the scope of business intelligence is limited. Today, the terms “business intelligence” and “analytics” are used to some extent interchangeably. Both terms extensively describe the practice of making better business decisions through the use of large data. But are the two technologies the same? The synchronization of BI and Big Data Analytics is needed for a better decision-making process. They both are not the same thing, but have many common objectives. Today, companies around the globe are rapidly changing and companies have realized that they are not only dealing with selling records or structured data, which would otherwise be processed, used, analyzed and achieved. BI & Big Data Analytics aims to explore why, what and how, customers, products, employees and businesses are involved in sales. However, in this paper you can find out how organizations meet these expectations, what the way ahead is for BI, future challenges, opportunities and the need for analytics.

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