"Data rates are doubling every 18 months, with a 300-fold increase in data volume predicted in this decade."
Optimisation through Data Technologies has been present in telecommunications for a long time already. However, with the exponential increase of data and the advancements in algorithms capable of data analysis the industry is set to make huge strides in its understanding of its data and subsequently in the optimisations and improvements it makes.
Perhaps the most obvious use of Data Analytics is that of Network Analysis on actual networks. This combined with other Data Science techniques can help to predict and assign individual network usage policies per customer. Knowledge of a networks actual performance can also be mined for insights into prevention of down time and general improvement of connection quality and load balancing.
As with other industry sectors being able to understand the customer on a deeper level means that a Telecommunications company can provide customised experiences to their clients through behavioural pattern analysis, customer segmentation and ultimately avoid customer churn.
It is also possible to harness data to reveal potential ideas for brand improvement and the possibility of location-based marketing plans such as relevant targeting of advertisement offers to customers in the near location of a company who has paid to advertise with the telecommunications business.
Streaming data combined with real time data analytics algorithms can optimise customer interactions and tackle potential issues to ease customer concerns as soon as they occur.
Social media analytics (SMA) can help provide sentiment analysis for a brand allowing any potential problems to be targeted quicker. SMA can also aid with tracking customer usage patterns and reactions to new products or marketing campaigns.
Optimise Routing and Quality of Service
Identify Fraudulent Behaviour
Tailor Marketing Campaigns to Individuals
Develop new Products and Services