Geolocation Intelligence Use Cases in the Telecom Sector

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Modern telecom sector constantly faces the issue of satisfying the demand for wide network coverage and newer mobile technologies while still maintaining existing systems (transmission towers, fiber networking, buried infrastructure, cellular antennas, etc). To achieve this goal, it’s critical to send field specialists for site inspection, gather information, do planning, inspect and analyze ground conditions. However, on-site work is time consuming, which pushes telecom companies towards searching for ways to increase efficiency, meaning cutting time, costs, and reducing complexity of working in the field. One of the ways to do so is to consider using the benefits of mapping, free satellite imagery, and geolocation.

The use of geospatial technology is nothing new to the telecom sector, but modern technological development has led to the emergence of even more innovative use cases of geolocation intelligence implementation in the industry today. For example, the growing number of free high resolution images providers has already resulted in wide geospatial technology application across different domains, including telecom. Let’s see some of the most interesting cases illustrating the use of geolocation intelligence for different purposes.

Enhancing customer insight

By analyzing such characteristics as user behavior patterns, billing data, support requests, purchase history, service preferences, demographics, and of course location, telecom companies offer products and services on a personalized basis. This also allows companies to proactively present the right offer at the right time, in the right context, and to the right customers, which will increase conversion rates.

Using real-time data, including one based on free high resolution satellite imagery analytics, that maps the user lifecycle, telecom companies are generating point offers and converting interested individuals into customers. Data such as customer demographics, buying behavior, and click-through patterns, combined with attributes such as location and content preferences, are used to create profitable new offers. This benefits companies as they create a picture of interactions with specific customers at different stages of the lifecycle to promote customized offers and campaigns.

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Investment planning

Telecommunications companies need to plan investments based on a number of parameters. Such as future connectivity needs, strategic goals, projected return on investment, projected traffic, customer service quality, etc. Effectively combining data on network traffic, customer service metrics, revenue potential and location, combined with customer value data, provides the most efficient use of investments.

Geolocation intelligence enables structure mapping, allows for overlaying that data with existing infrastructure and creating a map of potential locations. This information combined with demographic distribution data enables telecom providers to match their future capabilities to the needs of surrounding target populations effectively.

Business operations optimization

Previously, the telecom sector depended on historical data for network management. Now, companies in the telecom sector have begun using various data including free real time satellite images and analytics tools to build real-time capacity usage maps for tracking the quality of user interactions and send alerts in case of network congestion or potential outages. Data analytics helps continuously monitor network activity and predict future demand. In addition, using real-time data from cell towers, engineers are able to track service degradation in a particular location.

In regions where there is excess capacity in the network, telecom companies organize special campaigns or promotions aimed at increasing the use of network resources. Capacity prediction models can also be developed based on the analysis of real-time data and traffic. Based on the analysis of data collected by comparing actual and predicted traffic, providers can plan to add additional capacity to the network in case of outages. This data can also help in detecting dropzones and predicting the appropriate position of cell towers.

Integration of geolocation data and its analytics can help telecom companies make their processes smarter, faster, and more efficient overall. Using such visualization tools as HD maps based on free satellite images, specialists can easily detect faults, recurring maintenance tasks and outages, thus speeding up the collaboration process.

Ultimately, satellite technology along with geolocation intelligence provides more possibilities to observe remote, sparsely populated, and dangerous areas much easier, faster, and in a more efficient way while retrieving the necessary geolocation data that will be tied to other data types. That is why governments, financial, and other organizations need to consider maximizing the benefits of an increasingly space-based global telecommunications infrastructure.

 

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