Hybrid Analytics
Hybrid analytics is a data analysis approach that combines traditional business intelligence (BI) tools with modern data science and machine learning techniques. It integrates structured data from databases and data warehouses with unstructured or semi-structured data from sources like logs, social media, and IoT devices. This methodology enables organizations to leverage both descriptive analytics (what happened) and predictive/prescriptive analytics (what will happen and what to do about it) in a unified framework.
Developers should learn hybrid analytics when building data-driven applications that require real-time insights, advanced forecasting, or automated decision-making, such as in e-commerce recommendation systems, fraud detection platforms, or operational optimization tools. It is particularly valuable in industries like finance, healthcare, and retail, where combining historical data with predictive models can drive competitive advantages and improve efficiency.