Data Fields and Data Sources in Actimize IFM
In Actimize IFM (Integrated Fraud Management), data fields and their data sources are foundational concepts that define how transaction and customer data is ingested, mapped, and used for fraud detection.
🧾 What Are Data Fields in Actimize IFM?
Data fields are individual units of data (like transactionAmount, customerID, deviceID) that represent real-world information used by the IFM engine to evaluate fraud risks.
Each field has:
| Attribute | Description |
|---|---|
| Name | Logical name (e.g., AccountNumber, TransactionAmount) |
| Data Type | String, Number, Date, Boolean, etc. |
| UDM Mapping | Field's mapping to the Unified Data Model |
| Source | Originating system (e.g., Core Banking, Mobile App, ATM) |
| Usage | Used in rules, models, and alerts |
🧩 What Are Data Sources?
Data sources refer to external systems or interfaces that provide raw data to Actimize for processing. Examples include:
| Data Source Type | Description |
|---|---|
| Core Banking | Customer, Account, Transaction data |
| Digital Channels | Online/mobile transactions, device fingerprints |
| ATM/POS Systems | Card-present transactions |
| External APIs | KYC, blacklist, geolocation, etc. |
| Batch Files | CSV, XML, JSON for offline/batch ingestion |
| Real-Time Events | Kafka, JMS, MQ – live transaction feeds |
🔁 How Do Data Fields Connect to Data Sources?
The flow works like this:
1. Source System
E.g., Bank's transaction API sends a POST request with JSON:
{
"transactionId": "TXN123",
"amount": 5000,
"accountNumber": "1234567890",
"timestamp": "2025-05-27T10:15:00Z"
}
2. AIS (Actimize Integration Services)
- Reads the incoming data via interface
- Maps it to Data Fields
3. UDM Mapper
Maps source fields → UDM fields
E.g.,
amount→TransactionAmountaccountNumber→SourceAccountNumber
4. Unified Data Model (UDM)
- Stores the standardized data
- Enables detection models to run consistently across systems
5. Detection Engine (IFM)
Rules and machine learning models use these UDM fields to evaluate fraud risk
E.g.,
IF TransactionAmount > 10,000 AND DeviceRiskScore > 70 THEN Flag
📦 Common Field Categories in IFM
| Field Group | Examples |
|---|---|
| Transaction Info | TransactionAmount, TransactionType, Channel, MerchantName |
| Customer Info | CustomerID, DOB, KYCStatus, RiskLevel |
| Account Info | AccountNumber, AccountType, AccountStatus |
| Device Info | DeviceID, GeoLocation, BrowserFingerprint |
| Login/Session Info | LoginID, SessionID, IP Address |