Devoteam played a crucial role as a manpower and solutions provider in fraud detection for user transactions, utilising powerful Google Cloud tools such as BigQuery, BigQuery ML, and AI Platform. With BigQuery enabling real-time data analysis, Devoteam swiftly identifies suspicious activities, while BigQuery ML employs machine learning to uncover fraud patterns. The AI Platform further enhances accuracy by developing predictive models that continuously improve over time. This comprehensive and integrated approach not only fortifies transaction security but also fosters user trust, equipping clients with cutting-edge tools to proactively combat fraud.
About Customer
LinkAja is the only state-owned, national champion server-based payment service provider in Indonesia, dedicated to creating a robust ecosystem for payment and financial services. The platform is open to synergizing with private parties that share a similar vision and mission. Its mission is to build an ecosystem and platform for payment and financial services tailored to the needs of the middle class, aspirants, and MSMEs in Indonesia.
With a user base of 93 million, LinkAja has been operating for 5 years, contributing significantly to the digital payment landscape in the country. By empowering its users and fostering financial inclusion, LinkAja has established itself as a pivotal player in the Indonesian financial services sector.
The Challenge
LinkAja, a leading digital payment platform, has encountered significant challenges in accurately detecting user transactions, particularly distinguishing between normal activities and potential fraud. As the volume of transactions continues to rise, the complexity of identifying fraudulent patterns increases, posing risks to users and the platform’s reputation. This challenge necessitates a sophisticated approach to fraud detection that not only protects users but also fosters trust in the LinkAja ecosystem.
To address these challenges, LinkAja aims to optimise its operational environment by utilising advanced technologies from Google Cloud. This strategy focuses on reducing costs associated with data processing and storage while improving the performance of analytics systems. By leveraging cloud capabilities, LinkAja seeks to create a more efficient infrastructure that can scale effectively with increasing transaction volumes, ensuring that the platform remains responsive and reliable.
The project’s primary objective is to establish a comprehensive data layer for fraud analytics, which will manage the integration of various data sources related to analytics, monitoring, and reporting. This framework will enhance LinkAja’s ability to analyse transaction data in real-time, allowing for quicker and more accurate identification of suspicious activities. Moreover, the successful implementation of this project will not only improve fraud detection mechanisms but strengthen the overall security and integrity of the LinkAja platform, paving the way for a more secure digital payment experience.
The Solution
Devoteam played a pivotal role in enabling LinkAja to develop an advanced suite of cloud-based fraud monitoring dashboards. This initiative significantly enhanced LinkAja’s ability to detect and manage fraudulent activities with precision and efficiency. Leveraging the power of cloud technology, the dashboard suite offers a centralised platform for real-time transaction monitoring and rapid identification of suspicious behaviors.
To achieve this, seven specialised fraud detection models were designed, addressing diverse threats such as Promo Abuse, Account Takeover, and Money Laundering. Each model is tailored to identify specific fraudulent patterns, providing LinkAja with robust tools to tackle a wide spectrum of risks. The seamless integration of these models into the dashboards enables comprehensive oversight and swift anomaly detection, fortifying LinkAja’s fraud prevention capabilities.
The project leveraged various Google Cloud products, such as BigQuery, BigQuery ML, and AI Platform, to facilitate the efficient processing and analysis of fraud analytics data. This combination of technologies enabled LinkAja to process fraud-related information in nearly real-time, significantly improving its ability to respond to potential threats. Furthermore, LinkAja incorporated Intel Corporation C3 technology extensively in the AI/ML Engineering Development phase.
This collaboration with Intel technology not only enhanced the AI/ML capabilities of the fraud detection models but also provided robust processing power and advanced analytics features. By leveraging Intel’s cutting-edge technology, LinkAja was able to optimise its fraud detection processes, ensuring higher accuracy and efficiency in identifying suspicious activities. As a result, LinkAja is now better equipped to ensure the security of its platform, fostering greater trust and confidence among its users.
Devoteam’s expertise and the platform’s capabilities have significantly improved our performance and efficiency. We’ve seen a noticeable increase in productivity and a reduction in errors.
The Result
LinkAja has made significant strides in enhancing its fraud detection capabilities by successfully identifying transactions suspected of being fraudulent. The platform classifies these transactions into seven distinct categories of fraud, streamlining the identification process and allowing for more targeted responses to different types of fraudulent activities. By implementing advanced analytics and monitoring tools, LinkAja has integrated a robust data layer dedicated to fraud analytics, facilitating real-time monitoring and reporting.
This integration enables the team to swiftly identify and respond to potential threats, resulting in a more secure transaction environment for users and fostering trust in the platform. Moreover, this strategic approach has led to significant cost savings, with LinkAja managing to reduce fraud-related expenses by up to 50%. This reduction underscores the effectiveness of their fraud detection system and highlights the importance of leveraging data analytics in combating financial crimes.
Intel Corporation played a crucial role in the success of this project by providing advanced technology and support for the AI/ML components of the fraud detection system. Their expertise enhanced the platform’s analytical capabilities, further strengthening LinkAja’s ability to combat fraud effectively.
