• KOMAL AJAY SAROJ
• Dr. Pritama Devi

In today's era of education in commerce, data analytics has become a support core, redefining age-old pedagogical methods and synchronizing scholarly courses with industry requirements. The rapid growth of digital technology and the spread of big data have made it mandatory to shift gears where students of commerce need to be trained with analytical skills in order to gain meaningful information from large datasets. The focus on data analytics in business education stems from the increasing reliance of businesses on data-driven decision-making, which calls for an educated workforce with statistical analysis, machine learning, data visualization, and predictive modelling capabilities. With digitalization, enterprises across industries are adopting, business students well-versed in data analytics have a competitive advantage, allowing them to monitor consumer behaviour, streamline supply chain activities, improve financial projections, and drive strategic business decisions. The emergence of machine learning and artificial intelligence further amplifies the relevance of data analytics in enhancing automation, personalization, and innovation in business industries. The conventional commerce education that focused primarily on theory-based in nature in finance, marketing, accounting, and economics now breaks paradigms by integrating data science practices and embracing multidisciplinary practice that harmoniously bridges business insight with technological knowledge. Institutions globally are updating their curricula to include business intelligence, data programming, and data-driven decision-making so that they can give students practical training through tools like Python, R, SQL, Tableau, and Power BI. Data analytics also enables students to deal with the intricacies of the digital economy, wherein analytical thinking and real-time analysis of real-time data are necessary for business growth and sustainability. Experiential learning methodologies like case studies, simulations, and industry partnerships make the learning process more robust so that students can apply concepts of analytics to real-world business problems. With the increasing influence of e-commerce, fetch, and digital marketing, data analysis emerges as a pivotal driving force behind customer interaction, detection of frauds, pricing tactics, and segmentation in markets and consequently an unavoidable ally for professionals of commerce. In addition to that, government and industry initiatives promoting data literacy pay even higher consideration to analytical ability of commerce graduates to make it relevant for today's data-dominated business landscape. Big data analytics integration in finance assists with measuring risks, portfolio optimization, and compliance with regulations, thus revolutionizing conventional finance practices. Likewise, marketing analytics uses data-driven insights to improve customer relationship management, social media, and consumer sentiment analysis to enable companies to further target refinement. Supply chain analytics, another significant area, applies predictive analytics and real-time data monitoring to propel logistics efficiency, demand forecasting, and inventory management. Therefore, business education should focus on data analytics training to prepare a workforce that can utilize data as a source of strategic value. Cloud computing, block chain, and it again highlight the need for data analytics skills, with companies wanting to conjoin connected systems for greater operational efficiency. Moreover, ethical dimensions of data analytics such as data privacy, cyber security, and ethical AI require the integration of ethics frameworks in business education to ensure that students understand the entire role and value of data-driven business practice. With the increasing popularity in the career market of data analytics skill, commerce graduates possessing such expertise have greater employability prospects in different industries, from banking and retail to healthcare and consultancy. The trend towards a knowledge economy throws into sharp relief the importance of data literacy, which forces commerce teachers to adopt analytics-based pedagogies that foster analytical thinking, problem-solving ability, and computer proficiency. Of course, ensuring that commerce graduates have the latest analytical techniques and business trends with them. Along with this, incorporation of artificial intelligence-based analytics tools in commerce education also increases student experience with personalisation, whereby students create personalised studying schedules based on their interests as well as potential future developments. With a greater focus put by businesses on data-informed policy, the contribution of commerce learning in producing data-wisdom graduates gains more relevance as it aids the shift of school learning in the direction of employer demand. The global economy's reliance on data analytics is also expressed through the growing demand for financial analysts, business analysts, and data scientists, further validating the integration of analytical capability within commerce education. As data analysis technologies keep evolving at a rapid rate, the education in commerce must also keep pace by continuously updating its models to accommodate new innovations and trends. Incorporating cross-disciplinary courses that bridge business studies with data science, artificial intelligence, and computational analytics is encouraging a holistic learning culture that equips students to confront the challenges of the digital age. In addition, the availability of online learning platforms, massive open online courses (MOOCs), and data analytics boot camps allows students to gain specialized skills beyond the confines of the traditional classroom, making data literacy accessible to everyone. As ethical use and data protection become increasingly significant in regulatory environments, commerce graduates with a solid background in data governance and compliance are at an advantage in traversing intricate legal and ethical environments. The increasing relevance of data analytics in business education goes beyond technical skills, focusing on critical thinking, strategic decision-making, and creative problem-solving. By incorporating data analytics into business education, schools are key to the development of the next generation of business professionals who will leverage data to fuel innovation, improve operations, and facilitate green business. Finally, the union of business and data analytics presents a new era of business education, where analytical skills are no longer an extra value but a necessary skill needed to thrive in today's business.

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"THE INCREASING SIGNIFICANCE IN DATA ANALYTIC IN COMMERCE EDUCATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.c900-c929, July-2025, Available :http://www.jetir.org/papers/JETIR2507295.pdf

"THE INCREASING SIGNIFICANCE IN DATA ANALYTIC IN COMMERCE EDUCATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. ppc900-c929, July-2025, Available at : http://www.jetir.org/papers/JETIR2507295.pdf