Our study of 1,000 senior business leaders demonstrates the extent to which big data sources and technology are being adopted across different sectors and regions of the world. We explain the impact on businesses and markets and how the acquisition of data is breaking down traditional industry boundaries. We identify how businesses are adapting to deal with this and what organizations need to do to make big data work for them.
Here we take a closer look at the findings in the Telecoms sector.
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Big & Fast Data The Rise of Insight-Driven Business - Telecoms
1. Telecoms
Big & Fast Data: The Rise of Insight-Driven Business
Capgemini view
Across the sector, we are seeing different types of communication services
providers (CSPs) taking different adoption strategies. Mobile Network Operators
(MNOs) need to leverage big data for optimizing network capacity to cope with
a phenomenal increase in data traffic, including that associated with the Internet
of Things (IoT), without comprising quality of service (QoS). Mobile Virtual
Network Operators (MVNOs) emphasize customer experience management, and
innovative personalized offers and bundles. Cable providers are investing in real-
time analytics and context-sensitive marketing. Network equipment vendors are
building service platforms for customer experience management.
All these companies are looking at big data technology as a way to generate
new sources of revenue. Many are in the process of choosing big data analytics
partners and suppliers. Proofs of concept are paving the way for the wider
strategic investments.
Obstacles that they need to overcome include silos that prevent seamless data
sharing – for example, the network engineering and operations team owns
equipment inventory and QoS/performance data and shares it on an ad hoc
basis when customer care departments need it to resolve problems. CSPs are
regulated by strong data protection and privacy laws that limit monetization
of data.
Mobile Network
Operators (MNOs)
need to leverage big
data for optimizing
network capacity to
cope with a
phenomenal increase
in data traffic