This is a scenario of inter-correlated didactic prerequisites in overlapping learning areas, delivered over time through siloed LMS.
It sounds complicated, but imagine this scenario:
A certification in Machine Learning requires different knowledge acquired over time through different courses from different LMS. Since the systems do not talk to each other, the Machine Learning course begins without any information about the learner's pre-existing knowledge (cold-start). This means that a huge amount of material will be re-exposed to the learner or (even worse) taken for granted as existing knowledge.