Overview

Begini provides access to assessment results and behavioural data that can be used to support decisioning, analysis and reporting.

You can access this data through:

• The Beacon Dashboard
• Webhooks (real-time delivery)

How you use this data depends on your integration approach and operational needs.

---

Ways to access data

Beacon Dashboard (manual access)

Within Beacon, you can:

• View individual assessment results
• Review scores and risk bands
• Monitor completion and activity

This is useful for:

• Operational review
• Manual decisioning
• Early-stage testing

---

Webhooks (automated access)

Webhooks deliver data directly to your system in real-time.

This includes:

• Assessment completion
• Score results
• Application status updates

This is the recommended approach for:

• Automated decisioning
• Integration into internal systems
• Scalable operations

---

What data is available

Depending on your integration, Begini provides:

Core outputs

• Score (numeric value)
• Risk band
• Score confidence
• Completion timestamps

---

Behavioural insights (psychometric)

• Trait-level scores
• Behavioural indicators
• Interaction patterns

These provide deeper insight into user behaviour beyond traditional data.

---

Application metadata

• Unique ID
• Integration ID
• Platform (e.g. web, Android, iOS)
• Completion status

---

Device data outputs (if integrated)

• Device-based risk score
• Permission signals
• Device intelligence indicators

---

How data is structured

Data is delivered in structured JSON format via webhooks.

Each payload includes:

• Event type
• Metadata
• Calculated results
• Optional flags or indicators

For full structure, see:

• Webhook Payload Structure

---

Using the data

Decisioning

You can use Begini outputs to:

• Approve or decline applications
• Adjust credit limits
• Segment users by risk

---

Portfolio monitoring

Use data to:

• Track performance across segments
• Monitor risk distribution
• Identify trends over time

---

Fraud and risk signals

Behavioural and device data can help:

• Identify suspicious behaviour
• Detect manipulation attempts
• Improve fraud controls

---

Product optimisation

You can analyse:

• Completion rates
• Drop-off points
• User behaviour patterns

This helps improve your customer journey.

---

Best practices

• Automate data ingestion via webhooks
• Store results securely
• Link results to your internal customer IDs
• Monitor performance regularly
• Combine Begini data with your internal models

---

Common mistakes

• Relying only on manual dashboard access
• Not storing webhook data