Our objectives - Data Science
Data-driven decisions culture
A data-driven culture, which aims to use existing or create new measurements and embed them in a decision-making framework that entails a quantification of both uncertainty as well as expected outcomes, motivates an organization by allowing a transparent, fact-based decision-making process.
Innovation management
Large organizations tend to be risk-averse, which can negatively impact their ability to innovate. Organizations that do not innovate are eventually displaced, especially in dynamic high-technology and knowledge-intensive areas.
Empowering of individuals
Traditional management emphasizes gut-instinct decisions by high-level management in a hierarchical top-down approach. This is contrary to recent trends in leadership, which indicate that knowledge-intensive organizations benefit from empowering skilled individuals.
Knowledge management
ESA’s mission mandates a strong reliance on external, temporary workforce to support geo-return. Without maintaining internal capabilities, the efficient management of such a workforce becomes impossible.
Data access
A key requirement from our community is the ability to access space science mission data through an interface that allows to execute scientific analyses without a need to move data to a client device.
Quality Control
There is a need to enforce policies to ensure compliance with ESA standards and to improve utilization of data for scientific and operational use-cases.