Deep solution research

As documentation for the supported CRMs was insufficient to determine the further course of development, our software engineer performed deep R&D to find out how the software would interact with the CRMs. Based on the research, we developed a data model and a comprehensive system interaction process.

Big Data Development

Our developers started with rebuilding the system architecture from scratch to ensure performance requirements were met. They chose a technology stack that supported big data development: the Spark framework to gather and process data, and ensure consistency and efficiency. Our specialists established data processing and ensured the data output is in required form almost immediately after the request.

Technology consulting

We provided not only software development expertise but also covered the tech leading on the project. Our engineer took responsibility for evaluating new feature development; estimating the required time and effort; consulting the client’s team, and third-party specialists on any questions regarding the system’s work; and helping to identify bugs and find solutions.

Flexible team composition

We supported the client with specialists, changing the team size depending on the task complexity and required development speed. When achieving business goals required more specialists than the client had, we involved new team members to augment the existing team and ensure the project stayed on schedule.