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What is predictive analytics?
Predictive analytics is a specialised branch in geospatial field that leverages data, statistical algorithms, and machine learning models to identify patterns and trends, and forecast future events or behaviors. This involves using geospatial data to make predictions about future outcomes, such as customer behavior, market trends, or environmental factors.
Predictive analytics can be applied to a wide range of scenarios, from predicting customer preferences and buying habits to forecasting weather patterns or environmental conditions. By analyzing geospatial data, organizations can gain insights into patterns and trends that may not be visible through other means.
How does the process work?
Predictive analytics can help organizations improve their operations, increase efficiency, and reduce costs. By leveraging geospatial data and predictive modeling, organizations can gain a competitive advantage by making data-driven decisions and anticipating future events.