The Enterprise Warehouse has these key features:
- The ability to handle multi-site, aggregated data
- An OLAP Star/Cube structure to manage multi-dimensional data sets
- The ability to process on-premise or cloud-hosted data with SSL and encryption support
- Incremental data loading and data transformation capabilities
Publish multi-site data from any Open Data (OData)-supported BI platform
An incremental Extract, Transform, Load (ETL) engine extracts and combines transactional data from multiple factories/work sites into a single Enterprise Warehouse database for processing. The FactoryLogix Reporting Service uses the ETL engine to stream data to the Enterprise Warehouse database.
Enterprise data sources
Enterprise data sources can include any of the following:
- Factory, line, and individual machine throughput
- Resource utilization and performance
- Overall Equipment Effectiveness (OEE)
- Production downtime and root cause analysis
- Quality and yields by customer, product, work order, line, machine, operator
- Defect rates, paretos, and analysis
- Material spoilage
- Material consumption by customer, product, work order
- Inventory aging
- On-time versus late production orders
Publish data from any OData-supported BI platform
At both the site level and enterprise level, a Business Intelligence gateway utilizes the industry standard Open Data (OData) protocol to transform data and prepare it for publishing. Using the gateway, you can publish enterprise data from DataMiner or any other BI platform that supports OData such as Power BI, Oracle BI, SAP Business Objects, DOMO, and Adobe Analytics. You can also combine DataMiner data with ERP and PLM systems’ data to create robust, full-spectrum enterprise analytics and BI reports.