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Managing complex solutions development and integration projects to ensure a high-quality, on-time delivery, our team Project Managers, Development Framework & Process Methodology deliver predictable results.

Framework

CodeLab gains cost, time, and quality efficiencies by utilizing our Technical Framework. This Framework leverages our modular components and development toolkits to create highly flexible, scaleable solutions designed to address our clients’ specific business needs.

Modular Components
Having a library of interoperable, highly flexible components that adhere to common development standards, that are pre-tested and designed from inception with the notion of flexible reuse in mind accelerates our development process. By allowing the attributes of these components to be quickly and precisely changed to suit a variety of requirements, we gain the advantages of prefabrication without the negatives of a cookie-cutter process. Examples of our modular components include: our content management engine, our DataScrubber and transformer, our customer management module, personalization and auditing components, and multiple other pre-built, highly customizable software components.

Repeatable Methodology
Now think what would happen if these components could be assembled the same way every time -- the people putting them together become progressively more efficient, while the output – the code – is consistently higher quality. Our developers leverage our proven process to ensure that they are optimally utilizing them, and, where appropriate, write their technical design with these capabilities in mind.

Development Toolkits
Finally, think about how much easier, faster, and better the process would be if the people who were putting the components together had specialized tools to assemble them.

Another advantage of these factors -- the repeatable process, the code library, the modular components, and the development toolkits -- is that they allow us to add resources to a project more efficiently, while allowing us to spend more time on the analysis and functional definition of a project, and less time on the actual programming.

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