Payment Products Maximize business performance with data-driven Insights 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. Redtech 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 model is underpinned with deep expertise in delivering switching, payment services & payment products. 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 Systemss, POS, Mobile Banking, Internet Banking, Card Management Systems, Payment Reconciliation Systems as well as external sources to generate meaningful insights. Marketing, business and operations teams within the banking organizations can access a pre-packaged catalog of readily available applications for immediate business results. Screens transactions to identify risk patterns to contain fraud losses. Discern risk patterns and tune the accuracy of risk assessment and scoring rules on an ongoing basis. Screen transactions in real-time by detecting unusual patterns that indicate potential fraud. Risk score merchants based on multiple variables to minimize fraud loss. Real-time assessment and management of risk across channels. Dynamic assessment, identification, and management of risk across devices. Assigns risk score to customers to lower exposure to fraud. Optimizes marketing efforts and deepens customer engagement. Analyse merchant transactions using sophisticated machine learning algorithms to create merchant cohorts to determine marketing strategies Reliable insights into segment and merchant performance help fine-tune pricing strategies. Allows acquirers to identify high performing categories and push sales. Uncover transaction patterns for informed strategy making related to the acquisition, promotions, pricing, and overall performance. Profile customer spend across channels to create customer segments and recommend card programs Track customer journeys and deliver optimized offers such as real-time credit to eligible customers at check-out. Analyse product performance (cards) to fine-tune product portfolio Insightful Recency, frequency, and monetary value based score to streamline database and direct marketing strategies. Perform root cause analysis for failed transactions to improve the ratio of success to failed transactions. Merchant chargeback patterns to aid retailers to improve quality of service. Track customer footfalls and transaction performance at each ATM location to optimize network planning. Analyze transaction volume and system performance to meet existing and forecasted capacity demand. Monitor end-to-end service performance to accurately pinpoint systems responsible for increasing time to respond. Track cash positions to detect and plug the likelihood of cash outages. Transactions improve the ratio of on-us transactions and optimal transaction routing. Identify cause of failure from transaction data to minimize transaction failure rates – timed-out/reason codes. 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. 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. With our infrastructure-agile but the secure cloud-based option, the model aims to be cost-efficient. Redtech Managed Services model is cost-efficient than owning and operating infrastructure in-house. 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. Payment Analytics Solutions
Overview
Paynalytix-As-a-Service
Ready Business Applications
Risk Analytics
Real-time Risk Management
Risk Identification
Merchant Risk Score
Omni-channel Risk Management
Device Related Risk management
Customer Risk Score
Customer Analytics
Segmentation/Performance
Intelligent Pricing
Acquisition Strategy
Merchant Analytics
Spend Analysis
Optimised Offers
Product Portfolio Analysis
RFM Score
Transaction Failure Analytics
Chargeback Patterns
Operational Analytics
ATM Network Optimisation
Predictive Capacity Planning
Real-time Service Monitoring
Cash Management
On-us/Off-us
Operations Optimisation
Why Redtech
Payment Analytics Solutions?
Access to best-in-class experts
Scalable cloud-based model
Low-cost cloud infrastructure
Strict data security standards
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