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In the changing dynamic world with the growth of organizations and technologies, Business Analytics plays a crucial role in the decision-making of an organization.Business Analytics is defined as the technique of using past historical data and transforming it into valuable actional insights that help an organization to increase its productivity and organization's performance.Business Analytics is important in many aspects, for increasing company performance, risk management, creating competitive awareness, increasing productivity, innovation, and growth, customer relevance, identifying opportunities, predicting future trends, etc.The aim of this research is to study the types of Business Analytics i.e., Descriptive Analysis, Prescriptive Analysis, Predictive Analysis, and Diagnosis Analysis.This Business Analytics aims to answer questions like," What happened", "What is going to happen in the future?","What could happen?",and" What do we know?".Also, the objective of this paper is to study the positive and negative impacts on the organization, how it helps to increase a company's efficiency, and performance which contributes to company growth, also how this study will help to identify and detect fraudulent activities in the same way due to its negative impacts like lack of skills, knowledge, unstructured and low-quality data, lack of availability of data, lack of trust and commitment, etc.
Urkude et al. (Tue,) studied this question.