Data & Integration

A retail company had customer data in five different systems.

Their CRM held contact details. Their e-commerce platform tracked orders. Their loyalty programme stored points balances. Their support tool had conversation history. Their warehouse system managed shipments.

None of them talked to each other. Support agents couldn't see order history. Sales reps had no visibility into support issues. The warehouse didn't know about loyalty tier shipping benefits.

They didn't need a data warehouse project. They needed real-time synchronisation between operational systems.

What Data & Integration Actually Does

We build lean, high-throughput integration pipelines that keep your systems synchronised without heavyweight ETL infrastructure.

Data flows between systems in real-time or near-real-time. When a customer updates their email in one system, it propagates everywhere. When an order ships, support and sales see it immediately.

No batch processes running overnight. No stale data. No manual reconciliation.

How It Works

The architecture uses event-driven patterns and direct API integration to move data with low latency.

Integration components:

1. Change data capture - Detect updates in source systems via webhooks, database triggers, or polling
2. Event routing - Send change events through message queues for reliable delivery
3. Data transformation - Map fields between systems, handle schema differences, apply business rules
4. Conflict resolution - Handle simultaneous updates, determine source of truth, merge data intelligently
5. Error handling - Retry failed deliveries, route exceptions to human review, maintain audit logs
6. Monitoring - Track throughput, latency, error rates, and data quality

We use Azure Event Hubs, AWS EventBridge, or Redis for event routing, depending on your cloud platform and requirements.

The system scales to handle millions of events per day without manual intervention.

Real-World Results

A B2B SaaS company had customer data scattered across Salesforce, Stripe, Zendesk, and their product database.

Customer success teams manually checked four systems to get a complete view. Sales reps couldn't see support health when renewing accounts. Finance had to reconcile billing data against CRM records monthly.

We built a data integration system that:

• Syncs customer records across all four systems in real-time
• Propagates updates bidirectionally (changes in any system flow everywhere)
• Enriches CRM records with product usage data and support metrics
• Updates Stripe billing information when account details change in Salesforce
• Maintains single source of truth in CRM while keeping other systems current
• Logs all data movements with full audit trail

The outcome:

• Customer data lag reduced from 24 hours to under 2 minutes
• Manual reconciliation eliminated (saved 20 hours per month)
• Customer success team has complete context without switching tools
• Billing errors reduced 91% through automated synchronisation
• Support response quality improved through instant access to account context

Teams now work from consistent, real-time data instead of stale snapshots.

What Makes This Different

Real-time, not batch

Traditional ETL runs overnight. We sync data continuously so systems stay current throughout the day.

Low latency, high throughput

Handle thousands of updates per second with sub-minute propagation times. Built for operational systems, not analytical warehouses.

Lean architecture

No heavyweight ETL tools or proprietary platforms. Clean code, message queues, and direct API integration.

Bidirectional sync

Data flows in all directions. Update in any system and changes propagate everywhere relevant.

Common Use Cases

CRM to billing synchronisation Keep Salesforce, HubSpot, or other CRMs in sync with Stripe, Chargebee, or billing systems. Prevent revenue leakage from stale data.

E-commerce to inventory integration Real-time stock updates from warehouse management to online store. Prevent overselling and improve customer experience.

Support to product data flow Give support teams instant visibility into product usage, feature adoption, and technical health without leaving their tools.

Multi-system customer records Maintain consistent customer data across CRM, support, billing, marketing, and product systems.

Legacy to modern sync Bridge the gap between legacy systems and modern SaaS tools during migration periods.

Technical Stack

• Event streaming - Azure Event Hubs, AWS EventBridge, Apache Kafka
• Message queues - Azure Service Bus, AWS SQS, Redis
• Real-time processing - Azure Functions, AWS Lambda, serverless compute
• Data transformation - Custom business logic in TypeScript or Python
• Monitoring - Application Insights, CloudWatch, Datadog

What You Get

Production-ready integration pipelines with monitoring, error handling, and audit logging.

Data flows between systems reliably with automatic retries for transient failures. When issues occur, detailed error context routes to the right people for resolution.

Monitoring dashboards show throughput, latency, success rates, and data quality metrics in real-time.

All integration logic is transparent and maintainable. You can adjust mappings, add new systems, or modify business rules as needs evolve.

Getting Started

Data integration delivers the highest value when you:

• Have critical data scattered across multiple systems
• Experience delays or errors from manual data reconciliation
• Need operational systems to stay synchronised in real-time
• Want to avoid expensive proprietary integration platforms
• Are migrating between systems and need temporary bidirectional sync

If your team spends more than 10 hours per week on manual data reconciliation or context-switching between systems, you're spending $30k-50k annually on work that can be automated.

Schedule a discovery call to discuss your integration needs. We'll map your data flows, identify synchronisation requirements, and design an integration architecture that keeps your systems current without heavyweight infrastructure.