About Us

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About Us

Your Reliable IT & Data Migration Partner

We provide expert data migration and IT consulting services that help businesses move, manage, and optimise their systems with confidence. Our team focuses on secure processes, accurate execution, and seamless delivery to ensure reliable results every time.

200 +
Successful Projects.
98 +
IT Professionals.
Our Working Process

Delivering Reliable Data Migration in 3 Proven Steps

01.

Discovery & Strategy

We analyse your data, systems, and risks to define a clear and secure migration strategy.

02.

Migration & Validation

We migrate and transform your data using automated pipelines with thorough testing and validation.

03.

Cutover & Ongoing Support

We manage go-live smoothly and provide post-migration support to ensure stability and accuracy.

Meet Our Team

The Experts Behind Our Success

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Steven Findlay

Data Migration Solutions Director

Data migration Solutions Director, Steven Findlay, has extensive technical experience in all aspects of data management having delivered projects for the likes of BPP University, ICL and RSM Robson Rhodes and involved in landscape Analysis and development for Bar Council, Age UK, G.O.S.H. His many years of technical experience include database development, ETL and integration.

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Andrew Findlay

Web Developer/Head of Awesome

Andrew Findlay is a skilled web developer with years of experience in creating dynamic and user-friendly websites. As the Head of Awesome at Windos Computer Services, he leads a team of talented developers to deliver innovative web solutions that meet clients' needs and exceed their expectations.

Our Advantages

Steve and his team are also certified data migration / project specialists with experience of delivering complex data migration solutions to a number of high profile customers. He applies an accredited framework to data migration projects, which ensures the risk of critical data not surfacing in the new application is virtually eliminated and success is more rapidly achieved without costly overruns.

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