The last decade has seen a massive increase in data generated by satellites. This aligns with the general trend in technology, where more data is produced due to the increased availability of low-cost sensors. Consequently, satellite operators must manage and process these large data volumes, a task that remains largely manual, effort-intensive, and time-consuming. At the same time, satellite operators are under cost pressure, leading to a reduced workforce available to operate satellites and analyze the data. While the introduction of more automation has mitigated the problem to some extent, it has not fully addressed the challenge of analyzing and interpreting the data to extract the information required for efficient satellite operations.