The Data Analytics process begins with Collection, where data is sourced from various platforms. Preparation follows, involving cleaning and organizing data for accuracy. In the Analysis stage, advanced tools and techniques uncover patterns and trends. These insights are shared through Visualization, using dashboards and reports that simplify complex information. Finally, Interpretation turns insights into strategic actions. With the rise of Future Applications Technologies, this process is evolving to deliver deeper insights, automation, and scalable business solutions.