Implement a dashboard that visualizes your "Neodata Score." This score (0 to 100) measures:
Only when the score hits 100 does the data deserve the Neodata Full Extra Quality label. neodata full extra quality
No algorithm is perfect. For the "Extra" standard, ambiguous data (e.g., a sensor reading exactly on the fault line) is routed to a live validation queue. A human expert clears or rejects the ambiguity. This feedback loop trains the AI to handle similar cases in the future. Implement a dashboard that visualizes your "Neodata Score
"Full" implies totality. In the context of Neodata, this means no gaps in temporal coverage (time stamps), no missing categorical variables, and complete metadata lineage. Partial data leads to partial insights. "Full" guarantees that for every expected data point, a validated entry exists. Only when the score hits 100 does the