The app helps operators allocate capacity where most appropriate by leveraging Dataspark’s Network CAPEX Optimizer platform to analyse datasets including customer satisfaction scores, potential demand as well as network traffic and yield. Operators can choose the best location for new cellular sites or upgrade existing network infrastructure using insights from the data.
“Our collaboration with Analysys Mason has the potential to boost the financial performance of mobile operators worldwide,” said Ying Shao Wei, COO, DataSpark. “It could be a game-changer for telcos in that it can help them build their networks more efficiently and enhance their customer engagement. By using the app to distill and analyse datasets, including past customer transactions in a non-invasive manner, operators can customise products and services for specific customer segments to generate new revenue streams.”
Trials on the app being conducted by a major Southeast Asian telco demonstrated an 11% improvement on the carrier’s ROI compared to current approaches, which only take into account traffic data.
“This collaboration brings a practical approach to big data analytics for Analysys Mason’s clients,” said Bram Moerman, CEO, Analysys Mason. “With CAPEX optimisation as a first use case we are confident that our approach lends itself equally well to revenue enhancement opportunities, as well as tackling next generation 5G deployment strategies.”
DataSpark and Analysys Mason are also working with mobile operators in the Asia Pacific region to support the development of analytics capabilities for objective decision making. In the future, the application will be able to help carriers plan fixed wireless access deployments, fibre-to-the-home rollouts and 5G deployments. It will also include a feature to help telcos identify new data monetisation opportunities in sectors such as transportation, advertising and smart urban planning.
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