Data Pipeline Configuration: SyteLine to Birst
Birst ingests SyteLine data through two primary paths: the Infor Data Lake (preferred for multi-tenant CloudSuite Industrial) or direct database connectivity (for on-premise SyteLine). The Data Lake path routes SyteLine BODs through ION into the Data Lake, where Birst's data preparation layer transforms raw BOD data into analytics-ready datasets. Direct connectivity queries SyteLine's SQL Server views and tables on a scheduled ETL cadence.
- Configure ION data flow to route SyteLine BODs (Sync.ItemMaster, Sync.SalesOrder) to Infor Data Lake
- Set up Birst cloud agent for direct database connectivity to on-premise SyteLine SQL Server instances
- Define Birst data preparation pipelines that join SLCos, SLCoitems, SLCustomers into a sales analytics dataset
- Schedule ETL refresh cadence: hourly for operational dashboards, daily for financial and trend analytics
- Map Birst semantic layer dimensions and measures to SyteLine business concepts (customer, item, warehouse, period)
Analytics Model Design for Manufacturing
Birst's semantic layer transforms SyteLine's normalized relational data into a dimensional model optimized for analytics. The core manufacturing analytics model includes fact tables for sales orders, production jobs, purchase orders, and inventory transactions, with shared dimensions for item, customer, supplier, warehouse, and time. This star schema enables cross-functional analysis that SyteLine's transactional forms cannot provide.
- Design sales fact table from SLCos/SLCoitems with measures: order_amount, margin, qty_ordered, line_count
- Build production fact from SLJobs/SLJobRoutes with measures: planned_hours, actual_hours, scrap_qty, efficiency
- Create inventory fact from SLWhseitems and inventory transaction history with turns, days_on_hand, stockout counts
- Define shared time dimension with fiscal periods matching SyteLine's SLGlPeriods for financial alignment
- Implement slowly changing dimensions for item cost, customer credit, and supplier lead time historical analysis
Dashboard Design and Embedded Analytics
Birst dashboards embed directly into SyteLine's CloudSuite Industrial interface through the OS portal, providing contextual analytics without leaving the ERP. Dashboards support interactive filtering, drill-down from summary to detail, and collaboration features like annotations and scheduled distribution. Pre-built Birst content packs for CloudSuite Industrial accelerate deployment with industry-standard manufacturing KPIs.
- Deploy Birst content packs for CloudSuite Industrial covering sales, production, procurement, and inventory analytics
- Embed Birst dashboards in CloudSuite Industrial OS portal for seamless user experience within the ERP
- Configure dashboard security using Infor Ming.le roles to match SyteLine user permissions and data access
- Create interactive drill paths: revenue summary → customer detail → order lines → shipment history
- Schedule Birst report distribution via email with PDF or Excel snapshots for stakeholders without ERP access
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SyteLine AI Integration Readiness Assessment
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