Annotations

Annotations are actions applied to data already processed or derived from other sources. They extract and summarize key financial and identity-related information, helping businesses analyze user behaviour and make informed decisions. By configuring annotations based on specific client needs, companies can derive precise insights that support workflows, improving efficiency and accuracy.

Annotations capture a wide range of data points highlighting user behaviour, financial patterns, or identity markers, further refining the decision-making process.

Example

Consider Z Bank, which needs to assess a candidate’s financial behaviour for loan disbursal. The bank can configure annotations to evaluate the user’s account balance and credit history to ensure financial responsibility.

Job to Be Done: Assess the user's financial stability and credit history before onboarding.

Verification Journey with Annotations:

• Average Monthly Balance: Analyze the user’s average monthly balance for the last 12 months.
• Penalty Payment Count Annotation: Identify any penalty payments indicating financial issues.

These annotations offer Z Bank a comprehensive view of the user's financial health for better loan disbursement decisions.