Apriso Global EMI
Manufacturing intelligence software
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What is Apriso Global EMI
Apriso Global EMI is a manufacturing intelligence and reporting module associated with the Apriso manufacturing operations management (MOM/MES) platform. It consolidates production and quality-related data into dashboards, reports, and KPIs for plant and operations stakeholders. The product is typically used to monitor operational performance, support continuous improvement, and provide role-based visibility across sites. It is commonly deployed in environments where Apriso is the system of record for shop-floor execution and traceability.
Tight alignment with MOM data
The product is designed to use data generated by the Apriso platform, which reduces the need to replicate MES/MOM data into a separate analytics stack for common operational reporting. This supports consistent KPI definitions tied to execution events such as production, quality checks, and genealogy/traceability. For organizations standardizing on Apriso across plants, it can simplify cross-site reporting compared with assembling multiple point tools.
Operational KPI dashboards and reports
Global EMI focuses on manufacturing-oriented KPIs and visualizations used by operations leaders, supervisors, and continuous improvement teams. It supports recurring reporting needs such as shift/line performance, scrap and rework trends, and compliance-oriented summaries when the underlying data is captured in Apriso. This can reduce reliance on ad hoc spreadsheets for routine plant performance reviews.
Role-based manufacturing visibility
The module is typically implemented to deliver role-specific views for different stakeholders (e.g., plant management vs. line supervision). When configured well, it provides a shared set of metrics and drill paths aligned to operational hierarchies (site, area, line, work center). This helps standardize how performance is reviewed across teams and sites.
Best fit for Apriso users
Global EMI is most effective when Apriso is the primary source of manufacturing execution data. If a company relies on multiple MES systems, historians, or IIoT platforms, additional integration and data modeling work is typically required to achieve a unified view. In those cases, a broader industrial analytics layer may be needed for cross-system analysis.
Less emphasis on advanced analytics
The module is oriented toward operational reporting and KPI monitoring rather than advanced time-series analytics, data science workflows, or large-scale event correlation. Organizations seeking extensive self-service data preparation, statistical analysis, or process-mining-style exploration may need complementary tools. This can increase overall solution complexity for analytics-heavy programs.
Implementation depends on data governance
Meaningful KPIs require consistent master data, production definitions, and disciplined data capture in the underlying MOM processes. If sites use different routings, reason codes, or quality definitions, cross-plant benchmarking can be difficult and may require significant standardization work. Ongoing governance is typically necessary to keep metrics comparable over time.
Seller details
Dassault Systèmes SE
Vélizy-Villacoublay, France
1981
Public
https://www.3ds.com/
https://x.com/3DS
https://www.linkedin.com/company/dassaultsystemes/
