Challenge:
Our client, a leading mobile network operator in Malaysia with 12 million mobile subscribers, faced the challenge of dealing with a large volume of data generated by every transaction on their network. The client needed to capture and analyze this data in real-time to optimize network performance and improve the customer experience. However, the sheer volume of data made it difficult to process and analyze in a timely manner, leading to delays in identifying and resolving network issues.
Solution:
To address these challenges, our client partnered with GlobeOSS, a leading solution provider for network data extraction. The solution enabled the client to capture and analyze large volumes of data generated by every transaction on their network, including traffic flows, device information, user behavior, services, handset type, location, and technology used. The solution also provided intelligent analytics and reporting tools that helped the client to identify and resolve network issues proactively.
The solution provided a 360-degree representation and visualization of subscriber-centric transactional data from the network to be used by various departments, allowing a holistic view of customer behavior and preferences. The platform enabled multi-source integration of data from 12 systems and 95 data types, allowing a comprehensive analysis of data collated. The platform was robust and extendable, allowing for the discovery of intelligence from the data collated.
Results:
With the network data extraction solution in place, our client was able to capture and analyze large volumes of data generated by every transaction on their network in real-time. The solution enabled the client to identify network issues quickly, reducing downtime and improving the customer experience. The solution also provided insights into network traffic and user behavior, enabling the client to optimize their network infrastructure and capacity planning.
The solution was able to process up to 50 million raw records per minute, enabling efficient processing of large volumes of data, resulting in real-time network performance optimization and improved customer experience. The platform enabled the client to calculate a Customer Experience Index (CEI), a metric that measures the customer satisfaction level with the network services, allowing the client to continuously improve and personalize the customer experience.
Business Benefits:
By partnering with GlobeOSS for network data extraction, our client, a leading mobile network operator in Malaysia, was able to achieve several business benefits, including:
Efficient processing of large volumes of data, enabling real-time network performance optimization and improved customer experience.
Increased network capacity planning efficiency, leading to cost savings and better resource utilization.
Enhanced network security, as the solution helped the client to identify and mitigate potential security threats.
Comprehensive data collection and analysis, providing insights into customer behavior, preferences, and needs.
Real-time network insights, enabling the client to make data-driven decisions and respond quickly to network issues.
Competitive advantage in the marketplace, as the client is now able to offer better network performance and customer experience compared to competitors.
Overall, the partnership between our client, a leading mobile network operator in Malaysia with 12 million mobile subscribers, and GlobeOSS for network data extraction has enabled our client to efficiently process and analyze large volumes of data generated by every transaction on their network, optimize their network performance, improve customer satisfaction, and achieve better business outcomes. The platform provides a robust and extendable big data platform that allows the discovery of intelligence from the data collated. The solution provides a 360-degree representation and visualization of subscriber-centric transactional data from the network to be used by various departments, allowing for a comprehensive analysis of data collated, and enabling the client to calculate a CEI, a metric that measures the customer satisfaction level with the network services.