Abstract Business analytics has become a crucial field of study in the contemporary business management field as it allows organisations to transform raw data into a significant insight to make better decisions. As businesses become increasingly digitized, the amount of data produced by businesses in terms of structured and unstructured data grows exponentially in both volumes and types. Business analytics is a combination of statistical methods, predictive modelling tools as well as data visualization methods to make organisation efficient and competitive. The field has been developed to more sophisticated diagnostic, predictive, and prescriptive analytics enabled by artificial intelligence and machine learning as opposed to the conventional descriptive reporting. The paper offers a theoretical coverage of business analytics, its key instruments and uses, and the importance of analytics in strategic business planning. The analysis based on secondary numerical data shows simple statistical treating through measures of trend, correlation, and forecasting indicators in the form of tabular presentation. The results indicate that analytics-based solutions aid in the monitoring of performance, risk evaluation, and business-result optimization. The paper finds that automation, real-time intelligence, and advanced decision-support systems are the three concepts that business analytics will keep defining the future business environment.
Holliyavar et al. (Sat,) studied this question.