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@article{174568,
        author = {Aditya Hemantrao Akolkar and Neha Jain and Nikhil Goud and Nisha Biradar and Mohammed Mohid},
        title = {Mastering Business Analytics: Unlocking Data-Driven Decision-Making},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {230-235},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174568},
        abstract = {In today's data-driven world, companies mainly depend on analytics to make wise choices, streamline processes, and obtain a competitive advantage. Utilizing data, statistical techniques, and technology, business analytics is a multidisciplinary field that generates valuable insights for strategic decision-making. In "Mastering Business Analytics: Unlocking Data-Driven Decision Making," the subject's foundational ideas, practical uses, and future employment opportunities are examined. It was explored that the fundamental ideas and methods, such as descriptive, predictive, and prescriptive analytics, along with necessary tools like Python, R, SQL, and platforms for data visualization. The paper looks at how business analytics are used in a variety of sectors, including supply chain management, marketing, healthcare, finance, and retail. It was described that a typical business analytics course format, covering important topics like statistics, machine learning, and data mining, to offer an organized learning route. The key competencies needed to succeed in this industry, which include technical know-how, problem-solving capabilities, and data storytelling talents. The study discusses of career options in business analytics, where we examine different work roles, industry demands, and income expectations, is crucial. And also discuss the issues and trends of the future, including developing technologies like artificial intelligence (AI) and cloud computing, ethical considerations, and data privacy concerns. For professionals, students, and company executives wishing to leverage the power of analytics, this article attempts to provide a thorough approach. In conclusion, readers will possess a comprehension of how business analytics influences the future and how to use it to advance their careers and achieve company success.},
        keywords = {Business Analytics, Data-Driven Decision Making, Machine Learning, Big Data, Business Intelligence (BI), Data Visualization, Statistical Analysis, SQL, Python, R and challenges.},
        month = {March},
        }