Issuance
Payment Analytics in Banking
Maximize business performance
with data-driven Insights
Overview
With the growth of digital payments, banks have a plethora of data available from an increasing number of digital payment sources. Financial institutions appreciate the potential benefits of data, but many face challenges in aggregating and mining information resident in multiple payment systems to generate business-wide efficiencies.
Agile production and organization-wide delivery of data insights require financial institutions to think new approaches to the problem. FSS Paynalytix-as-a-Service brings together multi-source, multi-format data together in the cloud to transform raw, complex data into business-ready data assets.
Paynalytix-As-a-Service
Paynalytix-as-a-Service model is underpinned by 30+ years of deep expertise in delivering switching, payment services, and payment products for banks, a deeply experienced workforce, and the largest and most diversified group of payment services professionals to deliver transformative business outcomes. The service is customizable to specific business needs of customers, enabling financial institutions to address immediate analytics requirements, and expand services as required.
Paynalytix, the underlying platform powering the service, efficiently ingests and integrates data from discrete payment sources including Switch, Payment Gateways, POS, Mobile Banking, Internet Banking, Card Management Systems, Payment Reconciliation Systems as well as external sources to generate meaningful insights.
Paynalytix Visualizer delivers highly responsive, interactive dashboards to get a comprehensive view of your business and enable drilling up and down on billions of records.
Customer Analytics
Optimizes marketing efforts and deepens customer engagement
Spend Analysis
Profile customer spend across channels to create customer segments and recommend card programs
Product Portfolio Analysis
Analyse product performance (cards) to fine-tune product portfolio
Optimised Offers
Track customer journeys and deliver optimized offers such as real-time credit to eligible customers at check-out
Merchant Analytics
Uncover transaction patterns for informed strategy making related to the acquisition, promotions, pricing, and overall performance
Segmentation/Performance
Analyse merchant transactions using sophisticated machine learning algorithms to create merchant cohorts to determine marketing strategies
Intelligent Pricing
Reliable insights into segment and merchant performance help fine-tune pricing strategies
Acquisition Strategy
Allows acquirers to identify high performing categories and push sales
Loyalty
Merchant loyalty programs and offers to incentivize sales
RFM Score
Insightful Recency, frequency, and monetary value based score to streamline database and direct marketing strategies
Chargeback Patterns
Merchant chargeback patterns to aid retailers to improve quality of service
Consumer Behavioural Analytics
Analyse customer behaviour to predict transactions growth
Transaction Failure Analytics
Perform root cause analysis for failed transactions to improve the ratio of success to failed transactions
Risk Analytics
Screens transactions to identify risk patterns to contain fraud losses
Real-time Risk Management
Discern risk patterns and tune the accuracy of risk assessment and scoring rules on an ongoing basis
Risk Identification
Screen transactions in real-time by detecting unusual patterns that indicate potential fraud
Merchant Risk Score
Risk score merchants based on multiple variables to minimize fraud loss
Omni-channel Risk Management
Real-time assessment and management of risk across channels
Device Related Risk management
Dynamic assessment, identification, and management of risk across devices
Customer Risk Score
Assigns risk score to customers to lower exposure to fraud
Operational Analytics
ATM Network Optimisation
Track customer footfalls and transaction performance at each ATM location to optimize network planning
Cash Management
Track cash positions to detect and plug the likelihood of cash outages
On-us/Off-us
Transactions improve the ratio of on-us transactions and optimal transaction routing
Real-time Service Monitoring
Monitor end-to-end service performance to accurately pinpoint systems responsible for increasing time to respond
Predictive Capacity Planning
Analyse transaction volume and system performance to meet existing and forecasted capacity demand
Operations Optimisation
Identify cause of failure from transaction data to minimize transaction failure rates – timed-out/reason codes
Why FSS
Access to best-in-class experts
We provide customers access to best-in-class talent in data modeling and analytics, thereby solving a major headache for financial institutions struggling to find the right people.
Scalable cloud-based model
Paynalytix-as-a-Service is deployed on the AWS cloud, ensuring resources can be dynamically scaled to adjust to the changing nature of the workload.
Low-cost cloud infrastructure
With our infrastructure-agile but the secure cloud-based option, the model aims to be cost-efficient. FSS’ Managed Services model is cost-efficient than owning and operating infrastructure in-house.
Fastest time to value
Expert teams, an agile approach, support for the industry’s most available visualization tools, and a focus on outcomes put real results in the hands of users in weeks, not months.
Complete service and support
In addition to hardware and software technology, FSS offers you a full array of support advantages, including:
- A single vendor for all your support needs; eliminates the need for third-party coordination
- Experienced and dedicated regional and global teams
- Tested and proven support processes
- Secure remote connectivity options
Strict data security standards
Data security is a top priority for organizations today. Protecting the data that we help manage is a top priority in the Managed Services model.