It is easy to deliver data analytic projects that focus solely on data and technology elements, but such projects are rarely successful. Data and technology are of course important to us, but we focus on the complete picture: the ‘who, what, why and how’ of a project.
To do so, we have built an agile multi-disciplinary team: from Data Scientists, Data Engineers, Big Data Experts, Cyber Security Specialists and Systems Engineers to Artists, Business Analysts, Mathematicians, UI/UX Designers, Solution Architects, Software Developers, Human Factors Specialists, Mission Systems Experts, Platform & Asset Performance Specialists and Content Creators.
We use agile methodologies, allowing us to develop and deploy solutions incrementally which serves to de-risk the project through the delivery process. Just as important as our methodologies is our culture: we are collaborative and open, helping us to forge close working relationship with our customers.
Those customers also value our third-party independence. As an employee benefit trust, we do not have shareholders, leaving us free to invest in ourselves, our research and innovation and to share this with our customers.
How do you satisfy the needs of the deep specialist as well as the more general, non-analyst user? Our team analyzes these needs and behaviors to create the brief for our data scientists and engineers. The result is a system that works for all of its users.
We drive innovative data analytics solutions, using our expertise to help you achieve your goals faster.
How do you support the transition from existing legacy data, technologies and skills to a Big Data framework? How can a mining or shipping company develop algorithms to let data drive their decisions? These are the kind of challenges we help customers unlock, turning data into valuable business intelligence.
Our Big Data consultants and DevOps engineers are experienced in delivering and supporting Agile Big Data projects. Our team uses agile methodologies. We can develop and deploy solutions incrementally, helping to de-risk the project through the delivery process.