5G rollouts aside, data is getting bigger and more unwieldly for operators to manage. The volume and velocity of this data has mounted considerably with 4G and is undoubtedly going to continue along this trajectory. So what does this mean for service providers today? The scale may be unrelenting, but the potential for mining valuable insights from this data can’t be ignored. Untapped revenue opportunities continue to be neglected without the appropriate data scrutiny processes in place. With 5G, this shortfall is set to only become more acute. So what is to be done?
Understanding how customers are using your service is fundamental in maintaining market share and ensuring relevance. This requires an orchestrated approach to interrogating usage data fast to truly understand how to stay ahead of rapidly changing customer expectations. For example, managing Quality of Service (QoS) in the transition from 4G to 5G is becoming a considerable challenge for operators today. While Virtual Reality (VR) and Augmented Reality (AR) gain in popularity with gamers, service providers are struggling to meet these QoS requirements on heavily-congested 4G networks. So how does one ensure that the distribution of bandwidth is allocated to the appropriate service for the right customer at the optimum time? This is where an in-depth and timely view of consumption data allows for the dynamic allocation of superior QoS for specific services to high value customers.
Identifying actionable data insights at scale becomes all the more challenging when it comes to the rollout of IoT applications. The complexity inherent in thousands, if not millions, of devices requiring connectivity and the ability to make meaningful decisions based on the data produced becomes challenging. Take, for example, the recent flooding in Venice. Had there been a digital infrastructure of sensors in place to monitor water levels with the ability to automatically interrogate the rate of change and trigger a resolution, a significant amount of damage could have been avoided.
In our recent whitepaper, we look at a selection of use cases which demonstrate the many ways which AI and automation can unlock new revenues and propel the operator business forward in 2020. This shows the breath of opportunities made possible through high volume data processing in real-time. Certainly, there needs to always be a focus on driving greater monetisation but service providers will also need to look at areas such as service assurance and auditing and control of data quality and completeness. In this way, the timely and purposeful interrogation of data opens up many ways to unlock new revenue, while further reducing revenue leakage and improving customer experience.