Publish Model Results to Existing Dashboards
Model-generated insights, like predictions or alerts, can be published back through the semantic layer to cloud data platforms. This approach lets modeled insights inherit the same semantic structure as raw data. Data scientists can simply analyze actual vs. predicted signals and analyze model drift.
By leveraging dimensionality established by BI teams, decision makers can more confidently navigate large predicted data sets — using the same time, product, and geographical hierarchies to analyze predictions as they would actual data. Further, predictions can easily be published to the same BI platforms used by the business.