Methods of Big Data Analytics

Big Data analytics encompasses a variety of methods used to extract valuable insights from massive datasets. These methods help organizations enhance decision-making, optimize operations, and predict future trends.

Types of Big Data Analytics

• Descriptive Analytics – Focuses on summarizing historical data to identify patterns and trends. Commonly used in dashboards and business intelligence tools.
• Predictive Analytics – Uses statistical models and machine learning to forecast future trends based on historical data.
• Prescriptive Analytics – Recommends actions based on data insights, often integrating AI and optimization techniques.
• Diagnostic Analytics – Helps determine the reasons behind certain trends or anomalies in data.

By leveraging these methods, businesses can transform raw data into actionable intelligence, leading to improved efficiency and innovation.