Gain Real-Time Insights, Enhance Fraud Detection, and Optimize Risk Management with Unified Data Visibility for Acquirers.
Streamline operations and cut costs by consolidating data streams and accelerating fraud detection across all channels.
Terminal, e-commerce, and mobile transactions land in separate systems, preventing you from seeing a customer’s full activity and masking multi-channel fraud patterns.
Overnight file transfers delay anomaly detection, letting fraud rings exploit hours-long blind spots and increasing chargeback exposure.
Analysts toggle among portals, export spreadsheets, and re-key evidence, inflating operating costs and lengthening merchant dispute cycles.
Inconsistent data formats hinder PCI, PSD2, and card-scheme reporting, risking fines and straining acquirer-issuer relationships.
Streamline operations and enhance security with FraudNet's unified, real-time fraud detection for acquirers.
We don’t just promise better fraud control—we deliver tangible improvements that protect your business.
Approve more valid transactions confidently.
Experience double-digit reductions in fraud-related chargebacks
Save time and resources while securing your revenue.
With an integrated platform designed for precision, agility, and impactful results, enabling your team to make smarter decisions, improve operational efficiency, and fuel your business growth.
No-code rules engine, flexible dashboards, and tailor-made machine learning models that are designed to adapt seamlessly and scale alongside your business.
Unify fraud detection, compliance, and risk management into one powerful solution, saving valuable time and streamlining your operations.
Reduce false positives, detect and prevent more fraud, and mitigate risk with highly accurate, real-time risk scoring and anomaly detection you can trust.
Leverage advanced analytics, comprehensive reporting, and our Global Anti-Fraud Network to make faster, smarter decisions on the spot.
Acquirer siloed data visibility refers to the ability of payment processing entities, known as acquirers, to access and analyze data that is often isolated across different systems or departments. This visibility allows acquirers to gain holistic insights into transaction data, which can improve decision-making, enhance fraud detection, and optimize payment processing efficiency. By breaking down data silos, acquirers can streamline operations and better serve merchants and customers.
Siloed data can be problematic for acquirers because it leads to fragmented insights and limits the ability to see the complete picture of payment transactions. This fragmentation can hinder effective fraud detection, risk management, and customer service. Without a unified view, acquirers may struggle to identify trends, detect anomalies, or address issues promptly, ultimately affecting operational efficiency and customer satisfaction.
Acquirers can improve data visibility by integrating their disparate data systems and adopting advanced data analytics tools. This might involve implementing centralized data warehouses, using APIs to facilitate data sharing between systems, or leveraging machine learning algorithms to analyze data patterns. Additionally, fostering a culture of data collaboration and investing in training for staff to use data tools effectively can further enhance data visibility.
Improved data visibility allows acquirers to enhance fraud detection and prevention, optimize transaction processing, and provide better customer insights. It enables more accurate and timely decision-making, reduces operational costs through increased efficiency, and helps in complying with regulatory requirements by ensuring accurate reporting. Additionally, it can improve merchant relationships by providing more detailed transaction analytics and support tailored to their needs.
Acquirers face several challenges in achieving data visibility, including legacy systems that do not easily integrate with modern technologies, data stored in incompatible formats, and organizational resistance to change. Additionally, ensuring data security and privacy while integrating different data sources can be complex. Overcoming these challenges often requires significant investment in technology and change management efforts to align internal processes and systems.
Data visibility significantly enhances fraud detection capabilities for acquirers by providing a comprehensive view of transaction data, enabling the identification of suspicious patterns and anomalies across different channels. With better visibility, acquirers can deploy more effective fraud detection models and react swiftly to potential threats. This proactive approach helps in minimizing financial losses, maintaining trust with merchants and customers, and staying compliant with industry regulations.