Indonesia telco XL Axiata is equipping its data scientists with Tibco’s analytics tools to uncover customer insights and improve network planning, among other goals, in a pilot data science initiative.
As part of the collaboration between the two firms, XL Axiata’s data scientists will be provided with an advanced computational engine and development environment that supports popular programming languages used in data science, such as R and Python.
These capabilities are delivered through Tibco’s new Data Science platform that combines the features of Tibco Statistica, Spotfire Data Science, Spotfire Statistics Services and Terr.
Melissa Ries, general manager at Tibco Asia-Pacific and Japan, said enterprises were recognising the importance of data analytics in shaping and transforming the way they engaged with customers.
“This is true especially for developing countries like Indonesia, which is one of the fastest growing consumer markets in the world,” she said.
“Working with XL Axiata, we believe that the data scientists of XL Axiata will be equipped with the right tools to help them adapt to the rising demand for accurate data analysis.
“Ultimately, we want to enhance the way they work by allowing them to tap into the processing power of learning trends, and to utilise artificial intelligence in data analysis,” Ries added.
Keri Oetarto, group head of information technology at XL Axiata, told Computer Weekly that Tibco’s data science capabilities would enhance the work of the telco’s data scientists, who can now tap the power of machine learning, deep learning and artificial intelligence.
“We are still at the initial stages, and the support we will be getting from Tibco is a crucial first step for us to meet our innovation journey,” he added.
XL Axiata is part of a growing group of telcos in Southeast Asia that are looking to leverage data analytics to improve operations – and even monetise their data in some cases through analytics services targeted at various industries.
Data analytics, for one, can help retailers trace the mobility patterns of customers using telco data. For transport planners, the data can also be used to plan future subway lines or adjust the frequency of buses and trains.