This chapter presents an in-depth analysis of data analytics methodologies employed in business, highlighting both structured and unstructured data. For structured data, the chapter discusses about predictive analytics and explores its function in strengthening business decision-making. Techniques for structured data analytics are examined using supervised learning approaches (e.g., regression and classification models) and unsupervised learning methods (e.g., clustering and dimensionality reduction). Unstructured data analytics, on the other hand, is addressed with an emphasis on sentiment analysis and image analytics, which enable businesses to extract valuable insights from text, images, and other non-tabular data. The Orange data mining tool is used as a tool, showing all the predictive models for businesses.