Traditionally, geospatial analytics has been associated with GIS specialists and specialized systems. However, the landscape is evolving rapidly. With the increasing availability of third-party spatial data, such as satellite imagery, organizations are recognizing the importance of harnessing spatial analysis and incorporating it into their descriptive, predictive, and prescriptive workflows. In our modern, multifaceted world, geospatial data has become indispensable for solving a wide range of societal, economic, and business challenges, from disaster mitigation and public health planning to optimizing infrastructure investments and automating economic insights.

Attendees of this webinar learned  how today's geospatial analytics ecosystem is being shaped by several crucial factors that organizations must be ready to address. These factors included:

• The abundance of data and the accessibility of data from commercial third-party sources.
• The complexity of handling data in various formats, necessitating agility in data ingestion, preparation, and blending for analysis
• The integration of geospatial analytics with traditional and advanced analysis, including predictive analytics and machine learning
• The urgency to make technology accessible to a broader audience and enhance the skills of existing resources
• The necessity for flexibility in reporting, visualization, and data sharing