In the current business landscape, the integration of data analytics and machine learning (ML) algorithms has become a pivotal strategy for predicting future business performance and deriving actionable insights. Data analytics involves the systematic analysis of historical data using various tools and techniques to generate insights that aid in informed decision-making. When combined with ML algorithms trained on this historical data, these models can forecast future trends and patterns, revealing potential opportunities for businesses to enhance their performance.
