• Data Preparation and Analysis: This involves cleaning, integrating, and exploring the data using descriptive and inferential statistics to identify patterns and gain insights.
  • Visualization and Reporting: Create visualizations and detailed reports to simplify complex data, enabling better decision-making based on trends and performance insights.
  • Predictive Modeling: Utilize machine learning, data mining, and AI to build models that forecast future trends, uncover patterns, and identify correlations and anomalies in large datasets for actionable insights.