Telecom industry experts and analysts can uncover considerable insights and business value in geospatial and location data. Telecom analysts can use spatiotemporal data to solve some of the industry's most significant challenges, such as network planning optimization and improving customer satisfaction. Modern geospatial enterprise solutions for telecoms ensure that analysts are equipped with the tools needed to gain actionable information and make educated, real-time decisions.
Let’s take a closer look at how spatiotemporal analytics are enabling telcos to improve services and deliver new offerings.
Improving network performance
Analytics on geospatial data is key to boosting overall network performance, which is critical as telcos look to ramp up 5G deployments. Telecommunication network data analysts and scientists can employ spatiotemporal data to design and visualize network topologies in various use cases, including 5G network architecture optimization, which requires maximum speed, optimum capacity, and minimum interference. Spatiotemporal data visualizations enable telcos to deliver beam forming features, which are being deployed in 5G stations to boost signal strength and range in a particular direction, avoiding interference from trees and buildings.
Geospatial software for telecoms provides carriers with geospatial analysis capabilities that drive location-based customer and network information. A robust, end-to-end analytics solution enables analysts to drill into any geographic area to analyze network performance and quality, and see who has the best network speeds and why so that they can improve network performance.
If they’re using high-performance, GPU-based technology, data scientists and analysts can perform large-scale, interactive geospatial analytics at granular levels, querying and visualizing data in real-time. With access to GIS-based and spatiotemporal data at scale, data scientists can help telco experts solve the core optimization challenges: capital optimization, spectrum optimization, and performance optimization.
When telcos can rapidly visualize big spatiotemporal data and rapidly run complex calculations, they can empower network operators and data scientists to place network assets efficiently, reduce interference between networks, monitor networks in real-time, derive real-time information from events, identify anomalies before they become problems, and maximize overall network operations. With robust spatiotemporal analysis, analysts can continuously map network performance by location and analyze how it changes in a specific service area over time.
Solving operational challenges and discovering opportunities
Geospatial analytics also provides answers to critical operational challenges and helps uncover new business opportunities. Here, visualization capabilities are a critical part of the puzzle. Performing interactive visualization on geospatial data enables telecom analysts to proactively track changes in traffic flow across mobile networks in near real-time. Interactive querying, filtering, and visualizing multi-sourced geotemporal data makes it easy for sales and marketing teams to quickly and easily identify competitor coverage and the most profitable locations to build wireless services. Faster, more reliable service with competitive pricing improves customer satisfaction.
By leveraging geospatial data, telecom analysts can also visualize customer churn quickly and easily build an array of charts to identify patterns and correlations across disparate datasets or geographies. Telecom teams can use spatiotemporal data visualizations in combination with packet customer base experience scores to determine which towers are delivering the lowest quality experiences and pinpoint why.
Conclusion
Geospatial data is undoubtedly helping to solve many of the most pressing questions facing telecom analysts today. This data is key to uncovering critical business information that improves operations, identifying new geospatial-enabled business opportunities, and efficiently exploring big data. Every telecom today must recognize that time and location data is essential to improving operations and ultimately delivering an unparalleled customer experience.
