XL Axiata teams up with software company TIBCO

Enterprise Innovation editors
18 Jan 2019
Daily News

Indonesia's XL Axiata has announced a strategic alliance with US-based analytics software company TIBCO aimed at strengthening the operator's Data Science project.

XL Axiata believes the new collaboration will allow them to equip their data scientists with the tools they need to work effectively and provide them with the most innovative techniques and technologies to address pressing issues at hand.

In addition to offering analytics solutions like TIBCO Data Science, this partnership will also seek to embrace the potential for cloud technology in specific deployment areas of the Data Science project.

“We are confident that joining forces with TIBCO will deliver a standardized technology platform across different business units,” said Keri Oetarto, group head, information technology, XL Axiata.

“We believe that TIBCO’s seasoned experience will help us build our capabilities in Data Science. This collaboration will also allow us to ensure our data scientists remain well aware of today’s wave of digital growth in the regional and global landscape.”

Under the collaboration, XL Axiata’s data scientists will be provided with an advanced computational engine and development environment for widely used statistical language supported by R, Python, and other related languages.

XL Axiata has also worked with TIBCO partner Cloudera to better understand its customer experience by creating a single enterprise view of its customer data. “Previously, every business unit maintained its own data silos,” said Yessie Yosetya, CTO, XL Axiata. “In our analytics journey, it’s important to put all this data together so we can understand each customer’s preferences and needs.”

Additionally, XL sought to include in its analytics an exponentially growing volume of network data along with new unstructured data sources, such as internet traffic and retailer data. “The data volumes are tremendous and typically marketing could only use samples of the data for their analyses,” said Yosetya.

“We also were limited in the data sources we could analyze with our existing platform. It was a serious challenge in terms of how to grow and scale, because the cost of the traditional platforms no longer made sense.”

First published in Enterprise Innovation

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