Today's large flow of information; measurements from sensors, metrics from processes and reports from coworkers or clients makes it hard to find and distinguish the important signals in your data. It not just to collect the data - an important piece is automatic analysis of data. This can only be done by understanding your domain, your clients and your processes.By understanding your current workflow processes you allow yourself to identify pain points and improve your processes continuously without losing control. In software development processes that means automating your build systems, verification systems and deployment systems. In data processing systems you can keep control by design of independent processes that can communicate through well defined interfaces. The key concept is automation and continuous integration, to avoid error prone manual work.Joakim is the founder of a scientific consultancy company in Sweden (Molflow) and managed several analysis/software projects with 3-20 participants for the maritime industry and the earth observation community (academia) and as a system architect designed analysis systems for several spaceborne scientific EO projects (Odin, SMILES, GOSAT). Joakim have experiences from leadership and maritime technology from the Swedish navy and project management and software architecture from the software industry.Joakim has a strong client focus and likes to work with agile teams in close contact with clients or other stakeholders.