Near real-time data has become one of the key facets of any customer-oriented business. As the production of new data is increasing, more strain is placed on existing technology. Telecommunications organisations, in particular, are facing the challenge of managing evolving datasets generated from high-speed networks as well as the need to generate directional insights from these datasets.
Advanced technology can now offer Telco analysts the ability to perform ad hoc analysis in real-time, giving access to real-time data that can be used to truly understand customer issues.
Why does the industry need real-time data analysis?
Simply put, the progress of digital technologies is making real-time analytics a necessity as dynamic and autonomous networks become more complex. This network shift causes a number of problems for operators. Now, greater analytics flexibility is required to investigate either present or future issues on larger and larger datasets.
The knock-on effect of ignoring this progression will undoubtedly reflect on customer experience and network service. This is particularly noticeable now that, more than ever, customers expect to have every problem acknowledged and understood immediately and at their convenience. The downstream effect of this expectation highlights the intricacy of achieving such a high service level across complex operational systems, demanding customer bases and diverse geographies.
Responsive data solutions offer a much-needed remedy to this challenge. With access to applicable real-world data about specific customer issues, analysts and customer service departments can efficiently cater to individual client concerns. Responsive analytics and in-the-moment insights allow the conversation between client and customer service to move at much greater speed – something that is essential when trying to meet the modern demands of quality customer experience.
Geospatial visualisation has developed quickly in the industry and when combined with real-time data gives a new opportunity to effectively find and address critical issues. Such an essential capability gives the benefit of context to analysts as they utilise user and network service data through a single interface.
Access real-time data analysis – the GPU revolution
The areas that are likely to see significant transformation due to real-time data analysis are almost endless. Customer experience is only one use case where we expect to see drastic changes. By introducing GPU technology, Telco organisations can begin to exploit these advanced opportunities today.
Brytlyt’s GPU accelerated database solution can integrate with existing system infrastructures to accelerate visualisation tools and empower speed of thought analytics. BrytlytDB processes billions of rows of raw data in milliseconds, using GPU parallel processing capabilities combined with optimised processing techniques. This allows analysts to perform flexible visualisations of evolving datasets on their current systems, but now without restrictive pre-processing or aggregation practises.
Built on PostgreSQL, BrytlytDB also brings the benefit of simple integration and reduced retraining requirements. Analysts can continue to leverage their existing skills and resources through familiar interfaces, while also harnessing acceleration from GPUs to fully exploit tool functions and features in addition to customer and network data.
Keep an eye out as we explore how GPU solutions will accelerate change throughout the Telco customer experience, including areas such as interactive customer care, user demand prediction and holistic coverage monitoring.
Get in touch to find out more about our GPU solutions and how they’ll transform Telco data analytics.
