Harnessing Telco Data for Virtual Drive Testing

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For telcos, ensuring optimal network performance is paramount for enhanced customer satisfaction. Traditional drive testing, where technicians physically drive around to measure network performance, has been a cornerstone of this process. However, this methodology is resource intensive and costly. 

An alternative method is using mobility data generated from Turbine, Unacast’s telco data processing engine, for virtual drive testing. This approach utilizes existing data from the core network and offers a more comprehensive view of network performance.

How does mobility data shift Traditional to Virtual Drive Testing?

In the context of telecommunications, mobility data can reveal how users interact with the network as they move through different areas. For example, it becomes possible to understand how people travel between places—specifically, which roads they use to commute between two locations—offering a real-time snapshot of network performance. This is about understanding commuting patterns, the use of transportation infrastructure, and travel routes to configure the network capacity to best serve customers.

Traditional drive testing involves sending out teams to drive through predefined routes while collecting data on network performance using specialized equipment. This method, while effective, is resource-intensive, time-consuming, and often limited in scope.

Turbine virtual drive testing simulates the same process digitally. By processing data generated by subscribers, CDR and network data, telcos can monitor and analyze network performance across vast geographic areas without the need for physical presence. 

Advantages of Using Mobility Data for Virtual Drive Testing

Cost Efficiency: virtual drive testing significantly cuts down on the expenses associated with fuel, vehicle maintenance, and manpower.

Comprehensive Geographic Coverage: using existing network data, telcos get insights into network performance in diverse environments, from urban to more remote rural areas, including regions that might be impractical or too costly to reach through traditional methods.

Real-Time Monitoring and Analysis: Turbine provides real-time insights, enabling telcos to perform dynamic network optimizations and improve overall user experience.

Enhanced Customer Satisfaction: by identifying patterns and trends in how people interact with the network in their daily lives, and identifying areas with poor connectivity, telcos can prioritize more user-centric improvements.

Implementing Virtual Drive Testing with Turbine

1. Data Collection: 

  • Telcos gather network and CDR data from their cell towers.
  • Use Turbine k-filter to ensure compliance with data privacy regulations to protect personal information.

2. Data Processing:

  • Deploy Turbine in your secure cloud environment. Read more here. 
  • Turbine will identify all devices that are moving and stationary. 
  • For each device that is stationary or moving, Turbine allocates each device on a specific road/rail, and finds areas of inconsistent signal from the device and creates a signal map accordingly.

3. Network Insights:

  • Identify loss of signal: the data from the aforementioned steps is aggregated over rail, roads, and points of interest for the telco to identify areas for improvement.
  • Signal strength distribution is used as a proxy for quality and Turbine creates profiles based on the observed noise from the devices.
telco data
An aggregate view of virtual drive testing identifies areas where people experienced poor signal (dark purple) at specific parts of the network.

Conclusion

Mobility data created using existing network data for virtual drive testing represents a new approach for the telecommunications industry. This allows telcos to understand how people actually interact and move through the cities rather than the static driving testing approach that relies on measuring signal strength at a given location. By using mobility patterns, telcos can enhance operational efficiency and improve customer experience by ensuring that networks are always optimized to meet their demands.

Frequently Asked Questions

Discover how analyzing real-world movement patterns can reveal valuable trends in customer behavior, optimize business operations, and enhance strategic decision-making.

What is site selection and why is it important?

Site selection is the strategic process by which businesses identify, evaluate, and choose optimal locations for their operations. This process is paramount as the location of a business directly influences factors such as accessibility, visibility, profitability, and market longevity. For retailers, the right site can mean higher customer footfall and increased sales. In real estate, a well-selected site can promise lucrative returns on investment and tenant stability. Financial service firms leverage site selection to position their branches or ATMs in high-demand areas. Essentially, site selection plays a pivotal role in ensuring the success and growth of a business by aligning its physical presence with market opportunities and demands.

How does location intelligence enhance site selection?

Location intelligence refers to the harnessing of geospatial data to derive actionable insights, which can significantly enhance the site selection process. By analyzing data like consumer demographics, foot traffic patterns, competitor locations, trade area data, and more, businesses can make more informed decisions about where to establish or expand their operations. Location intelligence allows for a deeper understanding of market dynamics, revealing hidden opportunities or potential pitfalls. For instance, retailers can identify gaps in the market, real estate professionals can forecast property value trends, and financial service providers can assess areas with high customer demand. Advanced tools, like those offered by Unacast, further refine these insights by leveraging AI and machine learning, enabling more precise and timely decision-making.

What challenges do businesses face in the site selection process?

Unacast provides invaluable support to businesses during the site selection process through its advanced location data and analytics software, all powered and refined by Artificial Intelligence and Machine Learning technologies. The company offers a suite of products designed to deliver accurate, actionable, and comprehensive location intelligence. This data proves crucial for businesses looking to understand consumer behavior, analyze traffic patterns, evaluate competitor locations, and much more. With Unacast’s robust tools, businesses in retail, real estate, and financial services can derive insightful information necessary for making strategic, informed site selection decisions. The platform not only provides reliable data but also ensures it is readily actionable for businesses, whether they are looking to open a new store, invest in property, or expand their financial services to new locations.

What types of location data are crucial for informed site selection?

Demographic data offers insights into the age, income, and lifestyle of people in a particular area, helping businesses understand their potential customer base. Foot traffic data provides information on the number of people visiting a location, which is crucial for retailers to estimate the store's potential popularity and for real estate professionals to assess an area's vibrancy and demand. Geographic Information System (GIS) data helps in visualizing and analyzing geographical details, supporting companies in identifying accessible and strategically located sites. Understanding the proximity to competitors, accessibility, and the socio-economic profile of the surrounding areas is also vital. Unacast’s platform aggregates and analyzes these various data types, providing a holistic view that significantly empowers businesses in their site selection endeavors.

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