A well-executed big data analytics project requires flexible business structures and logical processes, not siloed structures with artificial constraints (like internal politics) that have been defined by the network domains, according to Ovum.
In order to succeed, telcos also need to become more data-centric and take lessons from the leaner and more agile data analytics models that are currently being pursued by over-the-top operators.
Only once this issue has been resolved will telcos be able to effectively monetize the increased volume, variety, velocity, and value of the network, subscriber, and business data that they collect as part of their businesses, Ovum said.
However, many telcos still lack the necessary data management and analytics skills in-house to make their data work for them.