Sdot Data Analysis

📊 Prescriptive Analytics: Recommending the Best Actions

Prescriptive analytics goes beyond forecasting and provides actionable recommendations to optimize decision-making. This method is commonly used in logistics, healthcare, and finance.

Some prescriptive analytics techniques include:

• Optimization Algorithms – Finds the best possible allocation of resources for maximum efficiency.
• Decision Trees – Maps out different possible scenarios and their outcomes.
• AI-Driven Recommendations – Machine learning models suggest the best course of action based on historical patterns.

For example, logistics companies use prescriptive analytics to determine the most cost-effective delivery routes, while hospitals use it to optimize patient treatment plans.