// ROBOTICS AND SMART FACTORIES TERM

Real-Time Analytics

Analyzing data as it's collected to make immediate decisions or adjustments, rather than waiting for data to accumulate.

TECHNICAL DEFINITION

Real-Time Analytics involves the immediate processing and analysis of streaming data from industrial IoT sensors, manufacturing execution systems (MES), and enterprise resource planning (ERP) to enable instantaneous insights and proactive decision-making in smart factories.

SYNONYMS & ALIASES

  • Live analytics
  • Instant data analysis
  • On-the-fly analysis
  • Streaming analytics

USAGE NOTE

Used to monitor production lines and identify anomalies or opportunities for optimization instantly.

DEVELOPERS

Organizations developing technology related to Real-Time Analytics.

  • Siemens

    Develops MindSphere, a cloud-based, open IoT operating system that connects industrial machines and systems to enable real-time data analytics for performance optimization and predictive maintenance in manufacturing.

  • PTC

    Offers the ThingWorx Industrial IoT platform, which allows manufacturers to connect, monitor, and analyze real-time data from factory floor assets to improve operational efficiency and product quality.

  • Rockwell Automation

    Provides the FactoryTalk software suite, which includes analytics platforms that process real-time production data to deliver insights on performance, quality, and machine health directly to operators and managers.

  • GE Digital

    Develops the Predix platform, an Industrial IoT solution designed for collecting and analyzing high-volume industrial data in real-time to optimize manufacturing operations and asset performance management.

  • AVEVA

    Provides the PI System, a leading data management infrastructure for collecting, storing, and visualizing vast amounts of high-fidelity, time-series data from industrial operations for real-time analytics and decision-making.

  • SAS Institute

    Offers advanced analytics solutions, including SAS Analytics for IoT, which applies AI and machine learning to real-time streaming data from manufacturing sensors for predictive quality, asset reliability, and process optimization.

  • Bosch

    Develops a range of Industry 4.0 solutions, including the Nexeed Industrial Application System, which collects and analyzes production and machine data in real-time to improve transparency and efficiency on the shop floor.

  • Seeq

    Creates advanced analytics software specifically for process manufacturing data. It enables engineers and data scientists to rapidly investigate time-series data from plant historians to find insights and optimize production in real-time.

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