“Oh-no, deadlines are quickly getting closer and scarce skills are needed! There is too much work and too little time.” Do you recognise this feeling and want to give your data projects an extra boost? Then using hybrid data teams might be the solution for you.
Continuous improvement is a key element in Valcon’s way of working. This article is a good example of how we at Valcon strive to assist our clients with data challenges.
What is a hybrid data team?
There is an increasing demand from clients for Valcon to be more scalable and have a more diverse skillset regarding data projects. With local limitations and scarcity concerning data skills, Valcon decided to examine a hybrid team approach. The hybrid team approach involves teams of locally-based employees working together with remote-located (near-shore) employees. Together with its clients, Valcon found an ideal balance to make this staffing model successful without losing face-to-face presence in projects.
Hybrid data teams can be composed of data engineers, scientists and analysts. Depending on specific needs, the teams will be extended with other skills needed to achieve the best result (data integrators, cloud engineers, programmers, testers, etc.). The balance between local and remote colleagues depends on the type of project, but the teams are always fully integrated.
The circle of balance
The power of Valcon’s hybrid data teams lies in the circle of balance, consisting of five characteristics every team should have:
- The centre of the circle shows one of Valcon’s core values ‘Together’: Valcon employees and clients working side by side
- Highly scalable team size
- A balanced team with local presence and the needed seniority
- Scarce data skills: ‘non-regular’ skills are available to assist on all data-related topics
- High-quality delivery track record (individuals and team)