📄️ Building a Data Ingress Business Rule
Any standard SensibleAI Forecast implementation includes building a data pipeline in its scope.
📄️ Building a Data Management Sequence for Data Ingress and Egress
When delivering a productionized SensibleAI Forecast use case to a customer, it is generally required to provide data management jobs that run data ingress and data egress business rules that extract, load, and transform customer data from its source and into databases within OneStream or manipulate SensibleAI Forecast forecast outputs to consumable formats.
📄️ SensibleAI Forecast: Data Pipeline Guidelines
The purpose of this article is to provide rules, recommendations, and guidelines for building SensibleAI Forecast ingress and egress data pipelines.
📄️ SensibleAI Forecast Connector Business Rule
For the purposes of establishing a connection between any outside Data Source and OneStream, we need to write a ‘Connector’ Business Rule.
📄️ SensibleAI Forecast Data Load Build Items
This article provides a step-by-step guide for setting up data integration between SensibleAI Forecast (FOR) and OneStream.
📄️ SensibleAI Forecast Mapping to Onestream Metadata
One of the main benefits of utilizing SensibleAI Forecast (FOR) is to be able to forecast at a lower granularity of metadata than can be done manually or via out-of-the-box OneStream functionality.