Capability
Systems Integration and Data
Integration work is unglamorous and disproportionately valuable. It removes re-keying, ends the disagreements about which system holds the truth, and makes reporting possible without a manual export.
At a glance
- Interfaces between finance, CRM, operations and payroll
- Data migration with reconciliation
- Reporting pipelines from source systems
- Every interface monitored and documented
Integration
Typical work connects finance, CRM, operations, e-commerce, payroll and document management so that a record created in one place appears correctly in the others. Before building anything, we establish which system is authoritative for each data entity — without that decision, integration propagates contradictions faster than people can correct them.
Interfaces are built with error handling, retry behaviour and alerting. A silent integration failure is worse than no integration, because the organisation continues trusting data that stopped updating weeks ago.
- System of record defined per data entity
- API and file-based interfaces with retry logic
- Failure alerting routed to a named owner
- Interface documentation and change control
Migration
Platform migrations succeed or fail on data preparation. We profile source data, identify duplicates and structural inconsistencies, agree cleansing rules, map fields explicitly, run trial migrations, and reconcile record counts and control totals before cutover.
Historical data handling is decided deliberately: migrate, archive to a read-only store, or retain in the legacy system for a defined period. Each has cost implications and each is a legitimate choice — provided it is a choice rather than an omission discovered at go-live.
- Source data profiling and cleansing rules
- Explicit field mapping and transformation logic
- Trial migrations with reconciliation
- Historical data and archive strategy
- Cutover plan with rollback position
Reporting
Where reporting is the driver, we build pipelines that consolidate source data into a reporting layer with defined refresh cadence and documented metric definitions — so two departments quoting the same figure are quoting the same calculation.
Keep exploring
Related Oakville services
Most engagements combine several of these. Follow the thread that matches the problem you are trying to solve.
Questions
Frequently asked questions
- What if a platform has no API?
- There are usually alternatives: scheduled file exchange, database-level extraction, or vendor-supported connectors. Where nothing safe exists, we say so rather than building something fragile against an unsupported interface.
- How long does a migration take?
- Data quality is the variable, not volume. Clean, well-structured source data migrates quickly; inconsistent data spread across systems and spreadsheets takes considerably longer, which profiling reveals early.
- Do you support the integrations afterwards?
- Yes, under a support arrangement covering monitoring, failure response and adjustment when a connected platform changes its API.
Stop moving data by hand
An integration assessment identifies where re-keying and reconciliation are costing the most time.