Geoanalytics is a catchall term for the discipline of data science that deals with spatial parameters. This exists within the realm of GIS (Geographic Information Systems). Professional geographers have been working with this type of data for generations in various forms to provide insights and answers to the burning questions that keep industry and government leaders up at night. Geographic data provides unique insights into different decision-making spaces, but its usage might not seem obvious at first. The truth is that professionals rely upon analytics across disciplines to ensure smooth policy coordination and sound decision-making that creates future growth in all aspects of social policy development.
Governments need geographical datasets to analyze complex events.
Government usage of these datasets has long been a key feature in policy decision-making. Queries surrounding funding allocation, threat assessment, and disaster relief efforts real-time combat events, all based on geographical data analysis and the location’s unique context. Open-source maps are a great start for any application of this analytical data. Still, many of these processes utilize the high-resolution imagery provided by a growing array of infrastructure in the upper atmosphere.
Geoanalytics helps government processes function through complex event processing (CEP). This analytical framework automatically allows entities across the spectrum to create analyses and response generation frameworks. Many of the threats our local and national governing bodies face are minor blips on the radar. They require a simple adjustment in real-time to account for the variance or trouble that would otherwise disrupt citizens’ daily lives in this or that part of the country. Governments rely on a CEP framework – Complex Event Processing for these challenges. This algorithmic approach to problem-solving requires an input of big data analytics and geospatial datasets to systematically evaluate the threat matrix faced at any given juncture in time or place. Because of the natural variations in population density, landscape, infrastructure, and local hazards and challenges, the GIS domain remains supreme in directing event stream processing functions.
Advertising campaigns need geographic context, too.
Advertising is an industry that relies on crucial GIS data products for efficient market penetration. The correlation between demographic breakdowns and the physical space in which these markers can be found is critical in the targeted ad buys that run the ad world. An advertising agency’s ability to tap into this crossover between demography and geography is its greatest asset for running client ads. Firms that understand the value of insights derived from physical space are positioned ahead of the pack when targeting your intended audience.
Manufacturing tasks also require analytics insights as well. The industry is built on efficient supply chain management, which means a factory operator must always know exactly where raw materials are in the possession chain. Creating products for consumers demands constant supplies and a corresponding outflow of the finished products. For this, managers rely on sophisticated GIS data to track the movements of each component piece of the puzzle.
This way, the core team can assign tasks to floor personnel or schedule additional time off to coincide with a lull in deliveries or availability of essential parts. Maintaining high efficiency here is the difference between success and failure, and the physical location of each moving piece dictates the standard operating costs that a manufacturing hub must endure. The area is crucial when evaluating any task, from the factory floor to satellite operation. Everywhere you look these days, geospatial data takes center stage for a good reason.
