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The Arrival of 5G: Do You Have a Fast Data Strategy?

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The Arrival of 5G: Do You Have a Fast Data Strategy?

With a fast data rules engine, billions of messages can be supported in real-time to quickly deploy the required network resources for QoS.

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5G isn't just an incremental increase in speed and bandwidth — it's the new face of the network and a key driver of the digital revolution. Until now, the technology was regarded as a buzzword or something "just around the corner." But with a number of public demonstrations, including at the recent 2018 Olympics by industry leaders including Vodafone, Intel, Huawei, Verizon, and more, it's safe to say that we have reached the era of 5G.

As the industry works towards making 5G commercially available, we are likely to see telcos take their individualized paths. Verizon is currently focusing on providing massive bandwidth, ultra-high speed, and single-digit latency for emerging fixed and mobile use cases, while rival AT&T is planning on introducing a "puck" that will act as a mobile hotspot until 2019, when 5G smartphones debut. Regardless of how communication service providers (CSPs) intend to bring 5G to market, each will have to overhaul their related technologies and infrastructure. To operate at scale with high availability, establishing a fast data strategy to leverage 5G to its fullest potential should be on every telco's to-do list.

Take Full Advantage of 5G With a Fast Data Strategy

Before CSPs even worry about big data, there's fast data — or data in motion. With 5G, providers will be tasked with supporting lower latencies (as low as a millisecond for some applications) and higher throughput than with 4G. At the same time, telcos will have to manage the increases in data traffic from smartphones and signaling from notifications and IoT devices.

To establish responsive network management and appropriate Quality of Service (QoS), providers will need a real-time decisioning engine that can analyze call and usage data, monitor policy, and maximize the value of 5G applications. 

By adopting a fast data strategy, telcos will be prepared with the capabilities to interact with the rich, real-time data streams running through 5G networks. With a fast data strategy, providers will have the following strategic advantages:

  • Detect declining QoS in the network and quickly remediate the situation.
  • Adjust network traffic in real-time to fix performance perception issues.
  • Make real-time service upgrades or contract extension offers to make the most out of customer interactions.
  • Gain insights into "soft errors" that might not be flagged as an issue by a network engineer.
  • Transmit real-time messaging to customers experiencing degraded service to alert them to proactivity in mitigating issues.

Don't Forget Data Slicing: Act Now Before Getting Consumed by the Competition

Data slicing also exacerbates the complexities of 5G by allowing providers to split a single physical network into multiple virtual networks and applying different policies to each to lend optimal support for individual services. When considering the implications of 5G, it goes beyond managing speed and scale to being able to focus on data-driven policy management.

CSPs, while accustomed to the sustained competitive pressures that threaten their customer base each month, will face stronger forces, as each layer in the stack will need to be differentiated. But there are steps that can be taken, like adopting a fast data strategy with a real-time database, that promise to offer relief. With a fast data rules engine, telcos will be able to support not just billions of messages in real-time to quickly deploy the required network resources for QoS, but also reduce the cost of managing the burgeoning operational data generated by 5G services.

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Topics:
big data ,fast data ,5g ,rules engine ,data slicing

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