Geospatial Data Services
How geospatial services enhance risk management for enterprise leaders
Enterprise leaders are facing growing risks today, from environmental hazards to operational inefficiencies, when managing assets across global markets. Geospatial analytics is one of the most valuable upcoming technologies, helping several indsutries address this issue. It provides critical insights into spatial data and enables proactive risk management and strategic decision-making. The increasing reliance on geospatial data analysis in modern enterprises is reflected in the rapid growth of the global geospatial analytics market, where experts expect it to grow at a CAGR of 11.9% from $93.91 billion in 2025 to $230.67 billion in 2033.
By integrating GIS software, businesses not only gain a competitive edge but also improve their efficiency, customer service, and sustainability initiatives. With the right solutions, they can make data-driven decisions, enhance predictive modelling, and optimise resource allocation for enhanced risk management and mitigation.
Understanding geospatial analytics
Geospatial analytics refers to the collection, processing, and analysis of location-specific data points to support informed, data-driven decision-making across various industries. Some of the industries that rely heavily on these capabilities to manage their infrastructure, asset risks, and operational efficiencies include utilities, oil and gas, telecom, mining, and transport.
Some of the key features of GIS software that make this possible include:
Managing spatial data effectively
Businesses today generate vast amounts of location-based data daily. Managing this spatial data efficiently ensures seamless integration, improved accessibility, and collaboration across teams for agile, data-driven decision-making. For example, in the utilities sector, real-time updates on grid performance can help companies perform preventive maintenance on underperforming assets, prevent outages, and improve energy distribution.
Extracting insights with spatial analysis
Geospatial data analysis allows companies to uncover patterns, trends, and relationships between different location-specific variables within their datasets. This can help enhance risk forecasting, route optimisation, and site selection. For example, in the retail industry, businesses can use these insights to identify prime store locations based on customer demographics and foot traffic to improve business resilience.
Keeping maps accurate and updated
Accurate maps are essential for managing assets, logistics, and urban planning. GIS software can help automatically update maps, integrating satellite imagery and IoT data to reflect the changing conditions in real time. Logistics companies can use these insights to optimise their delivery routes and reduce fuel consumption.
Facilitating smarter planning with predictive modelling
Predictive geospatial analytics and modelling can help businesses simulate potential scenarios and assess risks before they cause harm. Leveraging AI-driven risk assessment software, they can anticipate market shifts, infrastructure vulnerabilities, and environmental conditions that can impact their operations. For example, in the oil and gas industry, companies can leverage predictive modelling to assess scenarios like pipeline corrosion risks and take proactive actions to reduce costly failures.
Monitoring assets in the field
Industries with widespread assets, like energy or telecom, can benefit from field asset tracking features of GIS software. These technologies enable real-time monitoring of equipment, infrastructure, and other assets to help reduce operational risks and improve response times in cases of emergencies.
Infosys BPM offers a comprehensive suite of geospatial services, allowing businesses to leverage these features with cutting-edge solutions for data collection, integration, spatial analysis, and mapping. With service offerings encompassing spatial data management and analysis, GIS consulting, application support and maintenance, project management, and more, enterprise leaders can leverage geospatial analytics to streamline operations, optimise decision-making, and mitigate risks effectively. With expertise in geospatial data analysis and a global network of expert associates, Infosys BPM ensures enterprises can maximise the value of their location-based insights across industries.
Role of geospatial data analysis in risk management
Geospatial data analysis plays a crucial role in ensuring the precision and foresight necessary for effective risk management. The ways GIS software can help improve risk management efficiency include:
• Mapping vulnerabilities: Insights from geospatial analytics can help businesses visually assess potential threats, such as security risks, infrastructure failures, or natural disasters, to ensure comprehensive risk management and better preparedness.• Identifying high-risk areas: GIS software can also pinpoint high-risk locations – for supply chain disruptions, equipment failure, or environmental hazards – with real-time insights into asset conditions for faster responses and preventive measures.
• Optimising resource allocation: Risk assessment software can improve cross-departmental collaboration and communication for streamlined decision-making and optimise resource allocation for efficient crisis response.
• Facilitating strategic risk mitigation: Geospatial services can help organisations craft targeted, data-backed strategies and implement effective countermeasures for effective risk management and mitigation.
Conclusion
As global risks become more complex, embracing geospatial analytics has emerged as an effective way to stay ahead in industries like utilities, oil and gas, telecom, and transportation. With robust geospatial data analysis, companies can visualise potential vulnerabilities, optimise resource allocation, and proactively safeguard their assets and operations. These insights can empower businesses to transform their approach to risk management, ensuring operational resilience and excellence.
