// ROBOTICS AND SMART FACTORIES TERM
Data Analytics
The process of examining raw data to discover trends, patterns, and insights that can help make better business decisions. It transforms raw data into actionable intelligence.
TECHNICAL DEFINITION
Data analytics involves the systematic computational analysis of datasets, often using statistical methods, machine learning, and visualization tools, to extract meaningful patterns, predict outcomes, and support data-driven decision-making in manufacturing operations.
BACKGROUND
The Fourth Industrial Revolution, also known as 4IR, Industry 4.0 or the Intelligence Age, is a neologism describing rapid technological advancement in the 21st century. It follows the Third Industrial Revolution. The term was popularized in 2016 by Klaus Schwab, the World Economic Forum founder and former executive chairman, who asserts that these developments represent a significant shift in industrial capitalism.
READ MORE ON WIKIPEDIASYNONYMS & ALIASES
- Business intelligence
- Data analysis
- Predictive analytics
- Prescriptive analytics
USAGE NOTE
Data analytics in manufacturing helps identify bottlenecks, optimize processes, and predict equipment failures before they occur.
DEVELOPERS
Organizations developing technology related to Data Analytics.
Siemens offers a comprehensive portfolio for industrial digitalization, including their MindSphere industrial IoT as a service solution, which provides powerful data analytics capabilities for manufacturing operations, predictive maintenance, and optimizing production processes in Industry 5.0.
GE Digital provides a suite of software solutions, including their Predix platform, focused on industrial IoT and analytics. These solutions empower manufacturers to collect, analyze, and act on operational data to improve asset performance, optimize production, and drive efficiency.
Rockwell Automation offers FactoryTalk Analytics, a platform designed to transform raw industrial data into actionable insights. It provides tools for real-time monitoring, root cause analysis, and predictive analytics to enhance operational performance and support smart manufacturing initiatives.
SAP provides enterprise resource planning (ERP) and manufacturing execution systems (MES) with integrated analytics capabilities. Their solutions like SAP Manufacturing Suite and SAP Analytics Cloud enable manufacturers to gain deep insights into production, supply chain, and asset performance.
PTC's ThingWorx Industrial IoT platform integrates with manufacturing operations to provide robust data analytics. It enables real-time monitoring, advanced analytics, and machine learning models for predictive maintenance, quality control, and operational efficiency.
IBM offers a range of solutions for industrial data analytics, including IBM Maximo for Enterprise Asset Management and IBM Watson IoT platform. These provide capabilities for collecting, analyzing, and leveraging data from industrial assets to optimize maintenance, operations, and decision-making.
Schneider Electric's EcoStruxure platform delivers connected products, edge control, and applications, analytics, and services for industrial operations. Its analytics capabilities help manufacturers optimize energy management, improve operational efficiency, and ensure reliability in smart factories.