Overview
In industries such as finance and e-commerce, enterprises process a large volume of fund-related operations every day. If fund data issues arise due to system faults or human errors and are not detected promptly, they can cause significant economic losses.
SOFACLRISK is designed to help you uncover the risk of financial loss. By executing user-defined rules on schedules such as daily or hourly, the product detects issues in fund-related data and delivers timely alerts. You can receive alerts at the earliest opportunity, investigate anomalies based on the abnormal data, analyze root causes, and resolve problems accordingly.
Advantages
SOFACLRISK offers the following advantages:
Deep integration with mature, industry-grade data platform products, delivering comprehensive coverage from top-level application scenarios down to foundational resources.
Multiple check modes and frequencies to meet diverse timeliness requirements for monitoring financial loss risks.
Beyond traditional SMS and email notifications, it provides integration with your platform’s notification channels, enabling real-time monitoring and emergency response for core business.
Metrics for coverage of financial loss risk monitoring, complemented by expert consulting services that transfer years of accumulated risk prevention experience to users.
Product Capabilities
Data Node
Centrally manage fund-related business tables via the data node list. Name nodes and add descriptions to articulate each table’s business semantics, making them easier for other users to identify and reference.
Check Point
Create check points (including writing check rules) to perform checks on a single fund business table or between tables. The check point owner can edit, delete, enable, and disable the check point. When a check point is enabled, the system performs periodic checks according to the configured check type. You can review the execution status of check rules for each cycle.
Check Scenarios
Organize your business into a hierarchical check scenario tree (up to three levels). Bind check points to their corresponding check scenarios so you can view monitoring capabilities and anomalies from a business perspective for specific scenarios.
Notification subscription
You can subscribe to the information about a check point, such as the offline, modification, and update of a check point, the failure of the check point, and the abnormal execution of the check point. You can select an email or a DingTalk to notify you. You can also subscribe to multiple checkpoints in bulk.
Exception list
View anomalies at the granularity of check rules, including the detailed difference data detected during a single check run. Each run displays up to 10 sampled difference records.
Exception handling
Record your handling conclusion for exception items, including whether it is a false positive, whether financial loss occurred, and remarks. Close the exception so its status becomes “Processed,” and notify subscribers of the check point’s anomaly alerts of the handling result to facilitate timely review.
Features
Data Node
You can manage fund business tables in a centralized manner in the data node list. You can name nodes and add descriptions to describe the business semantics of the tables so that other users can identify and reference them.
Check Point
You can create check points (including writing check rules) to check fund business tables or between tables. The person in charge of a verification point can edit, delete, publish, and unpublish the verification point. When the verification point is in the Online state, the system will perform periodic checks based on the specified verification type. You can view the running status of the reconciliation rules in each cycle.
Check Scenarios
You can sort your business into a tree of check scenarios (up to three levels). Check points can be bound to the corresponding check scenarios. This allows you to view the monitoring capabilities and exceptions in specific scenarios from the business perspective.
Notification subscription
You can subscribe to the information about a check point, such as the offline, modification, and update of a check point, the failure of the check point, and the abnormal execution of the check point. You can select an email or a DingTalk to notify you. You can also subscribe to multiple checkpoints in bulk.
Exception list
You can view the details about the exception granularity of a reconciliation rule, including the details of the discrepancy data that is run time found in a reconciliation task. A maximum of 10 samples of discrepancy data are displayed in each reconciliation task.
Exception handling
You can handle the conclusion of an exception record, including whether it is a false positive, whether it is a loss, and comments, and disable the exception. The exception status changes to Handle, and the above handling conclusion is notified to the subscriber of the exception alarm at the verification point, so as to facilitate timely resumption of the transaction.