Cross-domain reporting without the fan-out risk of unrestricted query building.
PredictLine gives users self-service access to approved data relationships while the platform controls schemas, measures, joins and aggregation behavior.
Self-service does not have to mean unrestricted database access.
PredictLine uses a curated catalog of sources, dimensions and measures. Relationships are explicitly vetted, and source data is aggregated at its intended grain before cross-domain joins.
Curated schemas
Users work with approved business concepts rather than raw database objects.
Vetted relationships
Cross-domain joins are deliberately defined rather than invented by an end user at runtime.
Fan-out protection
Source-level aggregation helps prevent one-to-many joins from multiplying financial measures.
Reliable cross-domain reporting depends on grain.
A naïve join can turn one $10,000 receivable into $30,000 when three related transactions are present. PredictLine’s query architecture aggregates each source at its intended grain before joining the results, preserving the financial meaning of the measure.