The app is designed to help operators allocate capacity where most appropriate, by leveraging Dataspark’s Network CAPEX Optimiser platform to analyse datasets, including customer satisfaction scores and potential demand as well as network traffic and yield.
With the app, operators can choose the best location for new cellular sites or upgrade existing network infrastructure using insights gleaned from the data.
“Our collaboration with Analysys Mason has the potential to boost the financial performance of mobile operators worldwide,” said Ying Shao Wei, chief operating officer of DataSpark.
According to the two companies, operators will be able to make better and more informed decisions based on the app’s recommendations, and they say trials on the app being conducted by a major Southeast Asian telco have demonstrated an 11% improvement on the carrier’s return on investment compared to current approaches which only take into account traffic.
“This collaboration brings a practical approach to big data analytics for Analysys Mason’s clients,” said Bram Moerman, chief executive of 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 say they are also working with mobile operators in the Asia Pacific region to support the development of analytics capabilities for objective decision making.
Both companies say that in the future, the application would have additional capabilities to help carriers plan fixed wireless access deployment, fibre-to-the-home roll-out and 5G deployment. It will also include a feature to help telcos identify new data monetisation opportunities in sectors such as transportation, advertising and smart urban planning.