Transforming BSS/OSS with Data Driven Insights in 5G networks

Ericsson reveals that the number of global 5G subscriptions surpassed 1 billion in Q4 of 2022, indicating the rapid growth of 5G technology. It is forecasted that by the end of 2028, 5G mobile subscriptions will reach 5 billion , demonstrating the increasing adoption of 5G technology and data driven insights across the globe. The development signifies a paradigm shift in mobile technology and its impact on various industries, from telecommunications to healthcare, entertainment, and beyond. 

The growing demand for faster, more efficient, and reliable network services in the 5G era has led to the deployment of 5G networks alongside existing 4G and 3G networks. However, managing the complexity of multi-vendor, multi-technology environments has become a significant challenge for communication service providers (CSPs).

To keep up with these changes, telecom operators need a fully convergent mediation solution that can seamlessly integrate all network elements with their Operations and Business Support System (OSS/BSS). This solution must support and integrate data collection, transformation, and distribution between different systems in a 5G network while processing large volumes of data in real-time and providing accurate data driven insights into network and customer behavior.

At the core of this solution is data mediation, which acts as a translator, facilitating communication between different systems in the network, and enabling them to share information with one another. By doing so, data mediation ensures that data is accurate, consistent, and easily shared and utilized by different systems within the network.

From the perspective of the business world, data mediation is critical to the Business Support System (BSS) as it enables CSPs to manage and optimize their services effectively. BSS manages customer relationships, billing, and revenue management for telecommunications service providers.

Generating Real-Time Data Driven Insights 

On the other hand, with the high bandwidth and low latency capabilities of 5G networks, there is an increased demand for real-time data processing, as well as the provision of new and innovative communication services to customers. 

Most digital consumers expect to have seamless access to new services and applications that can take advantage of the network’s capabilities. By collecting, transforming, and distributing data between different systems in the 5G network, data mediation ensures that accurate and consistent information is available for analysis. 

Data mediation can also provide BSS/OSS with data driven insights into network performance and customer behavior. This information can be used to develop targeted marketing campaigns, personalize services, and optimize pricing strategies to increase customer satisfaction and loyalty.

5 Benefits of Optimizing BSS / OSS with Data in 5G Networks

#1 Improve Customer Experience

Data mediation processes can help telecom operators to enhance the customer experience by monitoring customer usage patterns and behavior in real-time. By using this data to offer personalized services and recommendations, CSPs can improve customer satisfaction and increase customer loyalty. Further, the data driven insights can assist CSPs to identify areas of service improvement, allowing them to address issues more proactively and efficiently. 

#2 Optimize Revenue Streams

CSPs require real-time billing and policy control capabilities to capitalize on and generate revenue from the opportunities presented by all-IP networks. To enhance revenue streams, data mediation provides accurate billing and usage data, allowing CSPs to create customized pricing plans that cater to individual customer needs, which potentially increases revenue streams and improves profitability. 

#3 Enhance Network Performance

Network performance or stability is essential in reducing downtime and network incidents to minimize the impact on communication service users. Good analytics and monitoring capabilities are critical in enabling CSPs to proactively identify and address potential issues before they can escalate into larger problems. In this regard, data mediation helps to enhance network performance by using advanced machine learning tools and processes to monitor network activity and analyzing data in real-time. 

#4 Minimize Total Cost of Ownership (TCO)

Reducing TCO is the top priority among CSPs to increase profitability. A truly modern digital BSS/OSS that incorporates data mediation is modular, cloud-native, and deployed virtually, which requires fewer resources for maintenance and reduces the frequency of end-of-life hardware replacements. In addition, by automating data collection and processing, data mediation can help to reduce the need for manual intervention, which in turn reduces the risk of errors and frees up resources for other critical business functions. 

#5 Improvise Decision Making Process 

By keeping data and data driven decisions closely integrated, data mediation is incorporated in BSS/OSS to achieve predictable scalability while maintaining extremely low latency. Organizations can make informed decisions quickly and efficiently, leveraging real-time data driven insights to stay ahead of the competition in today’s rapidly evolving business landscape. 

Neural Technologies’ Comprehensive Data Mediation Solution

At Neural Technologies, we are always prepared to adapt to the rapidly changing networking environment. Our comprehensive Data Mediation Solution helps with effective data processing and turns raw data into valuable insights that can be used to enhance revenue streams, all while leveraging the latest in AI and machine learning technology. The benefits include: 

  • Batch and Real-Time Access
  • Reduce TCO
  • 100% Configurable and Adaptive
  • Scalable and Robust
  • Simple Integration
  • Complete Visibility 

Our robust Data Mediation solution is equipped with the features as such:

  • Message Queue Mediation: Online and offline large scale data collection, steaming, transformation, and distribution such as Kafka (Avro), MQSeries, RabbitMQ, MQTT for IoT. 
  • Data Replication and Virtualization: Connects and queries data from several different data sources at the same time and provides the same data to several systems simultaneously. 
  • Data Integration to Any BSS / OSS: 3G / Diameter / 5G / IoT / Fixed Networks. Integrates with all third-party applications through open APIs such as HTTP(S), RESTful, SOAP, TCP / IP, UDP.
  • Cloud Warehousing: High availability, scalable and container-enabled for cloud deployments.
  • ETL and ELT Data Integration: Support structured, unstructured, semi-structured and raw data types. Agnostic format support. 
  • RDBMS / NoSQL / Big Data Mediation: Wide range of support for numerous data stores such as Oracle, MS SQL Server, MySQL, Postgres, Aerospike, Casandra, HBase, Hadoop/Parquet, Kudu, MongoDB, HDFS

Speak to our Data Mediation experts today to turn your data into valuable insights. 

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