BI

BI, short for Business Intelligence, commonly refers to the practices, tools, and data models used to turn raw business and operational data into structured information for reporting, analysis, and decision-making.

What BI includes

In industrial and regulated manufacturing environments, BI typically includes:

• Data extraction and integration from systems such as MES, ERP, QMS, LIMS, maintenance systems, and finance
• Data modeling and aggregation across plants, lines, customers, products, or time periods
• Standard and ad hoc reports, dashboards, and scorecards for KPIs and metrics (for example OEE, NPT, COPQ, schedule adherence, inventory turns)
• Self-service analytics and query tools used by engineers, operations leaders, and quality staff
• Visualization layers (charts, heat maps, drill-down views) that sit on top of a data warehouse, data mart, or data lake

BI environments are usually read-focused. They consume data from transactional and execution systems (such as MES or ERP) but do not control machines, authorize work, or manage real-time workflows.

How BI is used in operations

Within manufacturing operations, BI is commonly used to:

• Monitor performance against defined KPIs, including ISO 22400 metrics and site-specific indicators
• Compare performance across shifts, lines, products, or suppliers
• Analyze trends in quality, scrap, rework, downtime, and delivery performance
• Support capacity planning, budgeting, and continuous improvement initiatives
• Combine financial and operational data (for example, cost impact of downtime or scrap)

Relationship to ISO 22400 and KPIs

BI platforms are frequently used to calculate and present manufacturing KPIs, including those defined in ISO 22400 and additional internal metrics. A common practice is to:

• Implement ISO 22400 KPIs as a stable, standardized core within the BI model
• Layer custom, financial, or IT-centric metrics on top, clearly labeled so they are not confused with formal ISO indicators
• Document KPI definitions, formulas, and data sources within the BI environment for audit and governance purposes

Common confusion

• BI vs. MES: MES controls and records production in real time on the shop floor. BI analyzes data (often including MES data) for reporting and long-term insights, but does not execute or enforce production workflows.
• BI vs. operational intelligence (OI): BI often works on historical or near-real-time data with broader business context. Operational intelligence focuses more narrowly on real-time monitoring, alerts, and decisions tied directly to ongoing operations.
• BI vs. data warehouse: A data warehouse is an underlying storage and modeling layer. BI refers to the reporting, analytics, and visualization capabilities that sit on top of such stores.

Other use of the acronym

Outside industrial and IT contexts, BI can also stand for Business Improvement. In the context of manufacturing systems and data, however, BI almost always refers to Business Intelligence.