Pentaho for Manufacturing

Powering Data-Driven Industry 4.0 

Manufacturers today face a tidal wave of data from IoT sensors, telemetrics, digital twins, and connected equipment. But with this opportunity comes complexity: siloed systems, legacy equipment, and fragmented data make it difficult to unlock the full value of digital transformation and AI. Pentaho delivers the unified data foundation manufacturers need to thrive in the era of Industry 4.0. 

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Unifying Data Across Sights and Silos for Action

Modern manufacturing has been undergoing digital transformation efforts for many years. And despite heavy investments, data seems to be more diverse and siloed than ever, on top of which AI and evolving regulations add yet another layer of complexity. 

  • IoT Data Explosion: Factories generate massive volumes of machine and sensor data, often working with proprietary formats like STEP or CAD. Integrating OT (operational technology) and IT data is essential for predictive maintenance, quality control, and real-time analytics.   
  • Telemetrics & Real-Time Analytics: Streaming data from equipment and vehicles must be ingested, processed, and analyzed instantly to optimize operations and reduce downtime.  
  • Digital Twins: Building accurate digital twins requires integrating data from IoT, MES, ERP, and other sources, ensuring data quality and interoperability for simulation and optimization.   
  • AI Readiness: AI and machine learning can only deliver value if the data is clean, complete, and well-governed. Manufacturers need to prepare, validate, and monitor data pipelines to support advanced analytics and automation.   

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Pentaho for Manufacturing

Pentaho’s modular yet integrated platform gives manufacturing organizations the flexibility and scalability to quickly and cost effectively Integrate and govern IoT, telemetrics, and digital twin data, prepare and validate data for AI and advanced analytics, optimize storage, reduce costs, and improve compliance, and empower teams and partners with trusted, actionable data.

Pentaho Data Integration

Connect to any data source—IoT, MES, ERP, cloud, or on-prem—and blend diverse datasets into a single source of truth for analysis and reporting.  

Enable real-time analytics and automate data pipelines for predictive maintenance, quality control, and supply chain optimization.  

Drag-and-drop interface, containerized deployment (Docker/Kubernetes), and support for Spark, Python, and R for advanced analytics.  

Pentaho Data Catalog

Discover, classify, and govern all data – from plants and warehouses down to individual machines and edge devices.  

Empower plant managers, engineers, and analysts to find, validate, and use trusted data for digital twins, analytics, and reporting.  

Track data from source to decision, monitor quality, and ensure compliance for AI and regulatory needs ranging from IATA 16949 and IAQG 9100 to LkSG, CSDDD and France’s Corporate Duty of Vigilance Law. 

Pentaho Data Optimizer  

Identify and retire redundant, obsolete, and trivial data (ROT), tier storage, and optimize access to critical manufacturing data.   

Safely migrate, archive, or purge data from localized IoT storage systems or applications to improve performance and reduce costs.  

Classify sensitive data, ensure audit-ready compliance, and reduce risk from storing unnecessary information.  

Pentaho Data Quality  

Identify and resolve missing, inconsistent, and inaccurate data before it impacts downstream production or plant systems and decision-making.  

Evaluate structure, completeness, and accuracy instantly; detect anomalies and outliers using AI/ML.  

Monitor data quality across pipelines, automate checks, and align with evolving regulations.  

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