Subscribe to the Teradata Blog

Get the latest industry news, technology trends, and data science insights each week.



我同意作为本网站提供商的Teradata天睿公司可能偶尔向我发送Teradata市场沟通电子邮件,其中包含有关产品、数据分析、活动和网络研讨会邀请的信息。我了解我可以随时通过点击我收到的任何电子邮件底部的取消订阅链接取消订阅。

您的隐私很重要。您的个人信息将根据Teradata全球隐私政策收集、存储和处理,您可以通过单击此隐私链接阅读和打印。

Maximizing the 5G Analytics Dividend

Maximizing the 5G Analytics Dividend
Telecommunications service providers have been heavy users of analytics for decades. From calculating subscriber churn to micro-targeting offers, network planning to quality-of-service optimisation – data is core to operations. However, the roll-out of 5G networks changes the stakes for the use of analytics in telcos. Not only is 5G the first ‘generation’ to embed analytics as a core function of the network architecture, but it is a vital component in delivering and effectively monetising the new cloud and software-defined services that are the true promise of the technology. But simply having analytics as part of the standard is only the first step; telcos need to adapt their data architectures to leverage the granularity, scope and scale of data to deliver value. Business leaders as well as technicians need to understand how to use these data assets to maximise returns.

NWDAF – the 1st step

The Network Data and Analytics Function (NWDAF) is fundamental element of 5G crucial to delivering higher level of intelligence to the network. Defined by 3GPPP and ETSI among others, the NWDAF standards are essential to the way 5G operates. For example, the network slicing which underpins many of the use-cases currently being explored and rolled out to individual clients, depends on complex analytics within the NWDAF. Network data analytics are required to monitor service quality and provide failure predictions to pro-actively prevent network and service degradations impacting customer experience. Every individual network slice will have to be monitored for performance and to allow resources to dynamically adjust to meet the specific SLAs for each customer. The complexity of these tasks and the real-time data at scale required for the AI to accomplish them goes far beyond the capabilities of existing BSS and OSS within most telcos.

Cloudification advantages

5G is also a cloud accelerator, and a crucial component in the ongoing digitalisation of virtually every aspect of the economy and society. For telcos to play a role, they must embrace the virtual, software-defined, as-a-service models of the cloud. To manage the predicted explosion in connected devices – tens of billions in the next few years – and the associated surge in demand for capacity, networks must transform to be able to deliver faster speeds, lower latency, and more capacity. At the same time increased complexity, range and type of applications, multi-vendor, multi-network environments all threaten to raise operational costs to unsustainable levels. AI and machine-learning algorithms will be essential to automate and manage as much of the network as possible. NWDAF is an essential step in bringing disparate data from across the network together, but it needs to be supported with hyper-scalable data analytics platforms capable of matching the scale, variety and speed of this data. 

Automate concept-to-cash

To maximise return on the very significant investments in 5G infrastructure, telcos will want to quickly develop, roll-out and monetise new services that make effective use of 5G capabilities. Beyond higher-speed downloads there are huge opportunities for innovative new services to tap into consumer and business user requirements. A subsequent blog will look specifically at the need for experimentation in 5G, but the capacity to closely analyse network data to spot new behaviours, and uncover new un-met needs is a third important use of data embedded within the 5G network. Using data to not only spot opportunities, but as the fuel for automated ‘concept-to-cash’ processes that create, deploy and monetise services on an as-needed basis will drive telco profitability.

Unify, orchestrate, analyse at scale

5G analytics plays a fundamental role in all these cases; service delivery, cloudification and new service innovation and deployment. But to deliver the insights, and successfully implement new analytic models across telcos so that the business units, operations and support teams can access and action them, requires robust, scalable and shared data platforms.   These platforms must be able to unify, orchestrate and analyse network data from the NWDAF. They should also combine data from across vertical applications including BSS and OAM layers within the business as well as external data as diverse as meteorological, transport and local events/news for example. Only then will they really support full automation of closed loop assurance and management of end-to-end services that not only match the promise of 5G but do so in a cost-effective ad commercially viable manner.
 
The ideas above are explored in more detail in this recently published whitepaper on how data analytics will drive 5G. Teradata has worked with telcos for decades, creating robust data platforms the deliver spectacular value across many areas of their business. As 5G puts data analytics firmly at the heart of the next wave of sustainable growth, we are actively working with customers to ensure their existing investments in data infrastructure can be leveraged to provide the firm foundations upon which this growth can be built.
 
If you’d like to know more about how Teradata maximises the analytics dividend of 5G, please get in touch.
Portrait of Laurent Laisney

(Author):
Laurent Laisney

Laurent is a Principal Industry Consultant and a member of the Teradata EMEA Telecommunications Practice. He is a Senior and trusted Advisor helping Telecoms companies to leverage Data & Advanced Analytics to drive business value.

He has more than 25 years of experience in the Telecommunication industry in EMEA and Asia where he held various positions in Sales, Presales, Business Development and Consulting. His background includes the promotion of OSS & BSS solutions, the adoption of Customer Experience Management (CEM) and the development of global partnerships with Telecoms Network Equipment Providers.

Laurent earned a MSc in Software Engineering from Ecole Polytechnique Universitaire of Montpellier and an MBA from Sorbonne Graduate Business School in Paris.

View all posts by Laurent Laisney
Portrait of Mark Nixon

(Author):
Mark Nixon

Mark heads up the Teradata EMEA Telecommunications Practice. He is a Senior and trusted Advisor supporting Telecoms companies to leverage Data & Advanced Analytics to drive business outcomes and value.

He has more than 30 years of experience in the Telecommunication industry globally; having held senior leadership and P&L roles for Huawei, Nokia, O2 UK and MCIWolrdCom including Strategy, Sales, Marketing and Consulting. His background includes design and delivery of Network Infrastructure both Mobile and Fixed Broadband 3/4/5G, FTTP and the supporting business functions OSS & BSS.  Delivered major transformation programs for Tier 1 Telco’s including Technology, Operations, Go-To-Market and Customer Experience.

Mark has BEng. (Hons) Telecommunications Engineering City of London University and an MBA from Said Business School Oxford.
  View all posts by Mark Nixon

使用Teradata Vantage将您复杂的数据和分析变成答案。

联系我们