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VIGOR

Independent thinking.
Connected engineering.

Engineering services

Cloud and data integration services in Malaysia

Make the systems behind your business work together. We design data flows, cloud foundations and integration services that your team can operate and extend.

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Solve the workflow behind the interface.

The hardest part of integration is often agreement: what a record means, who owns it, how it changes and what happens when an upstream system fails.

What we can build.

01

Cloud architecture

Plan environments, access, deployment and recovery around your workload. Hosting location and support responsibilities are explicit design decisions.

02

Data pipelines & reporting

Bring together approved data sources with defined transformations, quality checks and source references. Build reporting around decisions rather than a collection of charts.

03

API & application integration

Connect systems through supported interfaces. Handle authentication, retries, duplicate records and reconciliation as part of the delivery.

Bring the context. We’ll work through the detail.

  • A map of applications and data owners
  • Sample records and the reports people rely on
  • Hosting, access and recovery requirements

Possible success measures

Choose relevant measures and establish a baseline before the build.

  • Data reconciliation exceptions
  • Report preparation time
  • Recovery against agreed objectives

Questions, answered.

Can you work with cloud or on-premises systems?

We assess the deployment environment during discovery. Cloud, on-premises and hybrid approaches have different access, support and operating requirements; the proposed architecture reflects those constraints.

Will integration replace our current applications?

Replacement is not the default. A supported integration may resolve the problem without replacing either application. Discovery also identifies where an old system limits a reliable connection.

How is data quality handled?

Define the source of truth, validation rules and an owner for exceptions. The implementation can then surface missing, inconsistent or duplicate records instead of silently passing them downstream.

What would a better workflow make possible?

Tell us what you want to improve. We’ll help turn the problem into a practical engineering scope.

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