- Description
Description
Data analytics is the process of collecting, processing, and analyzing data to obtain useful insights that can support decision-making, improve performance, and predict future conditions.
In industrial applications, data analytics means that sensor readings (motor RPM, controller temperature, current, pressure, etc.) are not only displayed, but also used to understand patterns, trends, and relationships between process parameters.
Examples include:
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Machine Process Monitoring
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Display real-time data on HMI or SCADA systems.
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Tank Mixer Temperature and RPM Monitoring
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Perform overheating analysis based on temperature and speed trends.
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Packaging Machine Performance
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Analyze reject rate trends to identify quality issues and improve efficiency.
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Cycle Time and Productivity Analysis
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Study cycle time, production output, and time taken to improve overall productivity.
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- ✅ Local design & manufacturing in Melaka
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