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[/vc_column_text][stm_post_details][stm_post_bottom][/vc_column][/vc_row][vc_row][vc_column width=”3/4″][vc_column_text]Geographic Information Systems (GIS) has undergone a major revamp in the recent past. The role of location intelligence, especially in mission-critical decisions has added to the evolution of GIS. What started as a trial, Software as a Service (SaaS) or cloud services in GIS has evolved into a trusted medium for most enterprises. The growing size and complexity of location-based data has enabled companies to embrace newer workflows, efficient data management capabilities, and infrastructure capacity planning. Cloud computing has changed the dynamics of GIS at a massive scale.
What is driving the growth of GIS and Cloud Services?
Cloud services add tremendous value across all segments of businesses that rely on geospatial data and location intelligence and empower stakeholders to make the most of growing complexities, cost management, and information security.
Massive volume of data: As data is growing exponentially across every industry vertical, location intelligence has emerged as one of the ways to manage data seamlessly. Address resolution through geocoding has enabled users to communicate across diverse systems. With cloud services, users can readily access geographic-attributed data on demand and subscribe to patches and updates seamlessly.
Massive user growth: Today’s location-intelligent systems cascade through every conceivable user base, from sales and marketing to operations and risk assessment to hydrology and urban planning. With rising proliferation of open source and proprietary mapping and analysis applications with intuitive user interfaces and design, more users are now demanding all levels of access to geo-analytic tools.
More complex data: Modern spatial analysis applications can process complex data like 3d imagery and high definition graphics from multiple data sources. With growing computing power, companies can access data of all complexities. This was unthinkable a decade ago.
Mobility: GPS, smartphones, and high-speed wireless communications have fostered a new frontier of innovation in cloud-based GIS. Telecom or natural resources analysts can now go out in the field and collect, analyze, and validate real-time spatial data anytime, anywhere.
Benefits
Low Total Cost of Ownership (TCO): With a cloud-based GIS model, organizations do not have to pay for any software or hardware cost on-premises. In addition to low server maintenance and minimal update costs, organizations ensure significant cost savings over a period of time.
More resource utilization: SaaS helps organizations deal with changes in GIS requirements more efficiently. GIS users can work on their core aspects of their job and not worry about system queuing or capacity constraints.
Low risk: Organizations can shift risk areas to their SaaS provider and in turn receive 24×7 uptime, enhanced security, and robust data backup.[/vc_column_text][/vc_column][vc_column width=”1/4″][stm_sidebar sidebar=”527″][/vc_column][/vc_row][vc_row][vc_column][stm_post_comments][stm_post_bottom][vc_empty_space][/vc_column][/vc_row]
