Il fulcro della Manufacturing Intelligence è costituito dal data warehouse di produzione (MDW, Manufacturing Data Warehouse), che rappresenta l'implementazione fisica del modello analitico di produzione (MAM, Manufacturing Analytical Model) basato sullo standard industriale internazionale ISA-95. Il suo concetto basato su dominio costituisce l'elemento chiave dell'architettura, che permette a qualunque software di terze parti di connettersi e recuperare dati dall'MDW senza richiedere ulteriori informazioni sulla semantica del modello di dominio.
Data Management
Connect, organize and aggregate manufacturing data
Data Management
Il fulcro della Manufacturing Intelligence è costituito dal data warehouse di produzione (MDW, Manufacturing Data Warehouse), che rappresenta l'implementazione fisica del modello analitico di produzione (MAM, Manufacturing Analytical Model) basato sullo standard industriale internazionale ISA-95. Il suo concetto basato su dominio costituisce l'elemento chiave dell'architettura, che permette a qualunque software di terze parti di connettersi e recuperare dati dall'MDW senza richiedere ulteriori informazioni sulla semantica del modello di dominio.
Data Management is made up of powerful features that allow you to build a custom solution. Read more about these features below.
Data harmonization
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Data model extensibility
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Data segregation
Designed as an enterprise system, Manufacturing Intelligence supports data segregation at every level for access and visibility restrictions and so can run on a distinct IT environment with purpose of remotely provisioning scalable and measured IT resources.
Flexible data model adaptability
The underlying configurable multi-dimensional analytical model of Manufacturing Intelligence is easily extendable with additional entities and attributes. It enables users to create powerful, business focused queries that easily return consistent analysis and drill-down without any IT involvement.
IoT data contextualization
The analysis horizon can be expanded by adding the MindSphere IoT data in order to break down the efficiency analyses of production operations to the IoT level or simply to contextualize the IoT time series data.
Multi-dimensional analysis model
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Multiple data sources
Manufacturing Intelligence is by default connected with all products in the MOM portfolio. In addition it can interact with data sources of other third party systems based on OLEDB/ODBC technology and offers a unique base for any production related data analytics.
Near-real-time Data transfer
An incremental mechanism in Manufacturing Intelligence allows a near-real-time data upload with 600+ times a day for carefree analysis on near-real-time manufacturing operations management data and without impacting the production environment.
Standardized data model
The data model of Manufacturing Intelligence is based on manufacturing ISA-95 standards. As a single point of data integration it harmonizes data between plant and enterprise levels allowing data analyses and visualizations without IT involvement.
Third-party data sources
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