Handling and analyzing large volumes of data using distributed computing frameworks like Hadoop or Spark to uncover insights that traditional analytics tools might miss.
Leveraging historical and current data to forecast future trends, behaviors, and outcomes. This could involve customer churn prediction, sales forecasting, demand forecasting, etc.
Creating intuitive and informative visualizations, dashboards, and reports to communicate complex findings and trends in an easy-to-understand format.