API & SYSTEM INTEGRATION

Connect the systems your business already depends on

Datazeb helps organisations move data reliably between CRM, ERP, finance, ecommerce, operational platforms, databases, cloud applications, APIs, and file-based systems.

We design integrations around source ownership, business rules, validation, security, monitoring, and exception handling so connected systems remain understandable and supportable after launch.

Discuss Your Integration Challenge Review Your Current System Connections

Common integration problems

  • Teams re-enter the same information in multiple systems
  • Reports depend on CSV exports or manual downloads
  • CRM and finance data do not line up
  • Ecommerce, inventory, and ERP systems use different identifiers
  • One system updates but another stays stale
  • API integrations fail without anyone noticing
  • Important business logic exists inside scripts nobody understands
  • File-based integrations break when formats change
  • There is no clear source of truth for shared fields

What Datazeb can deliver

API Integrations

Connect systems through supported REST, SOAP, GraphQL, webhook, or vendor-specific APIs where available.

Database Integrations

Move and synchronise approved data between SQL databases, cloud data stores, warehouses, and operational systems.

SaaS Application Integration

Connect CRM, finance, support, project, ecommerce, cloud, and operational platforms.

File-Based Integration

Automate CSV, Excel, JSON, XML, SFTP, email attachment, or cloud-file ingestion where APIs are not available.

Data Synchronisation

Keep selected records or reference data aligned between systems using scheduled or event-driven patterns.

Transformation & Mapping

Standardise identifiers, statuses, formats, currencies, dates, products, customers, entities, and business rules.

Validation & Reconciliation

Confirm expected records, totals, mappings, schema, and critical relationships before downstream use.

Monitoring & Support

Track failures, retries, late feeds, schema changes, credentials, and integration health after launch.

A reliable integration flow

  1. Source
  2. Extract / Receive
  3. Map & Validate
  4. Deliver / Update
  5. Monitor

The connection itself is only one part of the solution. Production integrations also need mapping, validation, ownership, retry logic, logging, security, and a clear process when the source changes.

API integrations

Use supported interfaces to connect applications without manual hand-offs

  • REST APIs
  • SOAP APIs
  • GraphQL
  • Webhooks
  • Vendor SDKs where appropriate
  • OAuth / token-based authentication
  • Pagination and incremental extraction
  • Rate-limit handling

The exact pattern depends on the vendor API, data volume, latency requirement, and whether the integration is read-only or transactional.

Database integration

  • SQL Server
  • PostgreSQL
  • MySQL
  • Cloud databases
  • Data warehouses
  • Read replicas or reporting databases
  • Stored procedures / views where appropriate

Direct database access should be controlled and documented. Reporting and integration workloads should not create unnecessary risk for production systems.

File-based integration

When APIs are unavailable, make file exchange reliable

  • CSV / Excel ingestion
  • JSON / XML processing
  • SFTP
  • Email attachment processing
  • Cloud storage folders
  • Filename and date validation
  • Schema checks
  • Late / missing file alerts

File-based integration can be reliable when formats, schedules, ownership, and exception handling are explicit.

Data mapping and transformation

Common mapping problems include:

  • Customer IDs
  • Product / SKU codes
  • Supplier codes
  • Location / entity IDs
  • Status values
  • Date and time formats
  • Currencies
  • Units of measure

Datazeb can build a controlled transformation layer so downstream systems do not each reinvent the same mapping logic.

Source-of-truth design

Decide which system owns each important field

  • Customer identity
  • Product details
  • Invoice status
  • Inventory balance
  • Account owner
  • Location hierarchy
  • Order status

Scheduled vs event-driven integration

Depending on the use case, integration may run:

  • On a schedule
  • Near-real-time through webhooks
  • On file arrival
  • On user action
  • On a business event
  • As part of a workflow

Real-time is not automatically better. The right frequency depends on business need, API limits, system load, operational risk, and cost.

Validation and reconciliation

  • Record counts
  • Control totals
  • Required fields
  • Duplicate checks
  • Reference mappings
  • Schema changes
  • Unexpected nulls
  • Missing relationships
  • Source-to-target differences

Validation should happen before downstream reports, workflows, or AI systems treat the integration output as trusted.

Failure handling and monitoring

Connected systems should fail visibly

  • Run history
  • Success / failure logging
  • Retry logic
  • Rate-limit handling
  • Authentication expiry alerts
  • Late-feed detection
  • Schema-change alerts
  • Error notifications

A production integration should make it clear what failed, when it failed, what data was affected, and who owns the response.

Security and credentials

  • Least-privilege access
  • Service accounts
  • Secret / token management
  • Encrypted connections
  • Restricted source access
  • Environment separation
  • Credential rotation

Security controls should follow the client’s architecture, data sensitivity, vendor requirements, and contractual obligations.

Integration for analytics

Bring operational systems into a trusted reporting layer

Integration often supports Power BI, executive reporting, finance analytics, sales analytics, inventory, and operations reporting.

  • CRM + finance
  • ERP + sales
  • POS + inventory
  • Support + customer
  • Project + finance
  • Healthcare operational sources

Explore Data Engineering & Integration

Integration for automation

Connected systems can enable:

  • Automatic record creation
  • Status updates
  • Notifications
  • Approval workflows
  • Cross-system hand-offs
  • Document routing
  • Exception workflows

Explore Workflow & Process Automation

Integration for AI

AI becomes more useful when it can access approved business systems

  • Knowledge retrieval
  • CRM context
  • Operational status lookup
  • Tool calls
  • Ticket or workflow creation
  • Conversational analytics

AI access should be permissioned and constrained. Integration should not become an unrestricted shortcut into production systems.

Legacy and difficult systems

Where a modern API is not available, possible approaches may include:

  • Database access
  • Scheduled exports
  • SFTP
  • File drops
  • Email attachments
  • Vendor connectors
  • Approved middleware

Existing integration review

Stabilise what exists before replacing it

Datazeb can review:

  • Current API integrations
  • Scripts
  • Power Automate flows
  • n8n workflows
  • Database jobs
  • File exchanges
  • Credentials
  • Monitoring
  • Known failures
  • Documentation

The outcome may be targeted stabilisation, improved monitoring, mapping fixes, redesign of critical integrations, or a phased replacement.

Why Datazeb for system integration

  • Strong API, SQL, Python, database, file, and cloud integration capability
  • Data engineering, analytics, automation, and AI in one delivery model
  • Focus on source ownership, validation, monitoring, and maintainability
  • Ability to connect integration work directly to Power BI and business reporting
  • Practical support for both modern APIs and file-based legacy environments
  • Flexible project and managed-support models
  • Senior-led global delivery

Engagement options

  • Integration assessment
  • API integration project
  • CRM / ERP / finance integration
  • Database integration
  • File-based integration
  • System synchronisation
  • Existing integration takeover
  • Managed integration support

How we work

  1. Understand
    Clarify systems, owners, business process, source-of-truth rules, frequency, data sensitivity, and downstream consumers.
  2. Assess
    Review APIs, databases, files, authentication, vendor limits, mappings, current integrations, and failure risks.
  3. Design
    Define data flow, transformations, validation, update direction, retry logic, security, logging, and monitoring.
  4. Build
    Develop and test the integration, mapping, validation, alerts, and downstream connections.
  5. Operate & Support
    Monitor the integration, document ownership, handle source changes, and improve reliability over time.

FAQ

Can you integrate our CRM and ERP?

Often, yes. The method depends on available APIs, database access, vendor connectors, files, and the data that needs to move between systems.

Can you connect systems that do not have an API?

Sometimes. File exports, database access, SFTP, cloud folders, or other vendor-supported interfaces may be practical alternatives.

Can you keep two systems in sync?

Yes, where appropriate. The integration should first define which system owns each field and how conflicts are handled.

Can you build near-real-time integrations?

Yes, where the source systems support events, webhooks, APIs, or other suitable patterns. Real-time should only be used where the business need justifies it.

Can you take over integrations built by another developer?

Yes. Datazeb can review, document, stabilise, monitor, and improve existing scripts, workflows, database jobs, or API connections.

Do you provide ongoing support?

Yes. Managed support can cover failures, source changes, API changes, credentials, monitoring, new mappings, and integration enhancements.

Stop moving the same information between systems by hand

If your business depends on exports, re-entry, fragile scripts, or disconnected applications, tell us which systems need to work together and what the data flow should achieve. Datazeb can help design a reliable integration that is mapped, validated, monitored, and supportable after launch.

Discuss Your Integration Challenge Review Your Current System Connections