FSS, a payments and fintech leader, has announced the launch of Paynalytix-As-a-Service at Seamless Middle East, the region's premier industry event in Dubai.
FSS Paynalytix-As-a Service brings multi-source, multi-format data together in the cloud and helps banks harness the value of their data for improved business outcomes.
With the growth of digital payments, banks have a plethora of data available from an increasing number of digital payment sources, including issuance and acquiring systems. FSS Paynalytix-As-a-Service leverages Paynalytix, an advanced big-data platform to help banks efficiently model performance along multiple business and operational dimensions.
The solution synthesizes data from the Switch and multiple payment applications, including Mobile Banking, Internet Banking, Card Management Systems, ATM Monitoring Systems, Payment Reconciliation Systems, Payment Gateways and POS to generate actionable insights for maximizing revenues as well as driving operational efficiencies.
Intuitive data visualization dashboards provide on-demand access to insights to a range of authorized end users, making it easy for various business units within financial institutions to analyze operational performance, fraudulent transactions, channel profitability and the end-customer experience.
Speaking on the launch, Suresh Rajagopalan, President Software Products, stated, "In an age of payments disruption, analytics is at the core of innovation and differentiation. FSS Paynalytix-As-a-Service helps banks achieve success by bringing a culture of data-driven decisioning at scale. By exploiting vast underutilized repositories of transaction data, we can help banks carve new business models and services and transform their go-to-market approach."
FSS Paynalytix-As-a-Service offers pre-built applications to help banks accelerate time-to-value. These include:
Customer Analytics: Analyses structured and unstructured cross-channel customer data (in-store, ATM, online, mobile, social) to infer and predict customer journeys and transaction patterns. This helps to optimize product performance, launch new product offerings as well as deliver real-time customer incentives and relationship pricing
Merchant Analytics: Acquirers can exploit transaction trend data to improve the quality and profitability of merchant portfolio.
For example, acquirers can glean transaction patterns across merchant categories, instrument type and interchanges. This can help in scoring individual merchants based on transaction recency, frequency and monetary value, which in turn can inform strategies related to acquisition, promotions, pricing and retention.
Risk Analytics: Uses automated machine learning to identify risk patterns and continually hone risk control framework as well as proactively preempt potential threats
Operational Analytics: Captures and analyzes real-time information on ATM networks, enabling banks to predict cash utilization and reduce cash outages, improving uptime and the first fix-rate to predict future maintenance needs
FSS' Paynalytix-As-a-Service platform is available on an outcome-based 'pay-per-insight' cloud delivery model. Banks can use pre-built applications or leverage FSS expertise in Payments and Big Data to develop new applications over the platform.
Disclaimer: No Business Standard Journalist was involved in creation of this content
