Data Usage in the Telecom Industry: How to Stop Your Data Lake from Becoming a Swamp
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- 4 min reading
In an age of rapid technological development, telecom data usage is increasing exponentially and information is pouring into CSPs forming vast lakes just waiting to be monetized. But such data form a body of raw material that needs to be located, extracted, refined and organized if it is to be of any practical use.
In order to implement analytics for telecom industry purposes, it is important to create synergy between three elements – people, processes and tools.
After all, people are the drivers of a CSP’s success, so, although processes are becoming ever more automated and tools more advanced, these are worth little without a culture of innovative thinking that focuses on their application and monetization.
An example would be new ways of thinking about how data are stored – traditionally in silos that create barriers to communication between domains. Virtualization lets CSPs remove such barriers and unify the various pools of the data lake. To prevent this unified body of data from becoming an unmanageable swamp, smart organizations establish desired outcomes (use cases) related to the telecom data usage and then work back to create a road map that will get them there.
Common use cases are related to operational efficiency, customer experience and new business models. It’s important to identify just one, then focus on sub-elements that can yield results. For example, if improved operational efficiency is the key use case, minimizing losses related to network failure could be the way to achieve this goal. But for any use case the principle is always the same. Establish your intended outcome, then step back to see how this might be achieved.
It sounds like a lot of work, but taking this step by step approach can yield substantial benefits.
An example would be new ways of thinking about how data are stored – traditionally in silos that create barriers to communication between domains. Virtualization lets CSPs remove such barriers and unify the various pools of the data lake. To prevent this unified body of data from becoming an unmanageable swamp, smart organizations establish desired outcomes (use cases) related to the telecom data usage and then work back to create a road map that will get them there.
Common use cases are related to operational efficiency, customer experience and new business models. It’s important to identify just one, then focus on sub-elements that can yield results. For example, if improved operational efficiency is the key use case, minimizing losses related to network failure could be the way to achieve this goal. But for any use case the principle is always the same. Establish your intended outcome, then step back to see how this might be achieved.
It sounds like a lot of work, but taking this step by step approach can yield substantial benefits.
Why is the telecom data usage so important for successful digitalization?
Integrating technology and business processes, increasing workforce agility, and implementing methodologies to manage and monitor both, should result in lower OPEX. For example, by identifying where automation would be useful it will also be possible to incentivize key personnel to bring this about. Your workforce will become increasingly agile – thus developing the organization’s skills base, encouraging deeper collaboration and fostering a stronger sense of being a stakeholder at all levels of the company, all reducing staff outflow and the associated recruitment costs.
At the same time, careful monitoring means processes can be fine-tuned. This clearly has an impact on CAPEX, because it allows operators to maintain their systems at the optimal level while planning and implementing upgrades with the benefit of a multi-dimensional view of technological and business operations and full understanding of customer requirements.
A customer-focused use case should have a direct impact on revenues, as data can be used to tailor services for specific types of customer and drive loyalty. Virtualized networks also bring the degree of agility to a network that allows an operator to employ automatic scaling that meets the demands of those customers.
Finally, telecom data usage can be monetized in new ways, especially in relation to the Internet of Things and smart connectivity across industry verticals. Smart city planners might, for example, use an operator’s data to plan and adapt public transport.
Comarch OSS/BSS Data Analytics Platform allows CSPs to implement the use case method and analyze each goal thoroughly, helping generate added value from data. And, even if your data lake has already become a swamp, the solution can help you clean it up.
At the same time, careful monitoring means processes can be fine-tuned. This clearly has an impact on CAPEX, because it allows operators to maintain their systems at the optimal level while planning and implementing upgrades with the benefit of a multi-dimensional view of technological and business operations and full understanding of customer requirements.
A customer-focused use case should have a direct impact on revenues, as data can be used to tailor services for specific types of customer and drive loyalty. Virtualized networks also bring the degree of agility to a network that allows an operator to employ automatic scaling that meets the demands of those customers.
Finally, telecom data usage can be monetized in new ways, especially in relation to the Internet of Things and smart connectivity across industry verticals. Smart city planners might, for example, use an operator’s data to plan and adapt public transport.
Comarch OSS/BSS Data Analytics Platform allows CSPs to implement the use case method and analyze each goal thoroughly, helping generate added value from data. And, even if your data lake has already become a swamp, the solution can help you clean it up.
