Data Collection
Data collection modules gather data produced by your factory's OT and IT systems as well as data manually entered by workers.
Each module is designed to seamlessly integrate into your various systems, such as your ERP, your MES, your CAQ and your machines. We identify the required data points at the beginning of the project. Once the modules are implemented, live data is collected and send to our processing and warehousing module.
Data Processing and Warehousing
After collecting data we utilize AI to structure and clean data (pre-processing) and to warehouse it.
Utilizing AI, we structure and cleanse data post-collection, prepping it for analysis. Then, we warehouse it, ensuring organized storage for easy access and insightful decision-making. This process enhances data utility for strategic operations.
Visualization and Reporting
Data visualization and reporting modules are designed to visualize and analyze data points.
They can calculate specific KPIs and apply advanced analytics to data collected over a period of time. Each module is specifically designed to integrate seamlessly with data collection, processing and warehousing modules.
AI-driven Data Mining
The HappyOps Factory Runtime transforms collected data into anomaly detection, correlation analysis and AI-based prediction.
The true power of the HappyOps DNA emerges once these steps are completed. AI is applied to the data, unlocking even greater value: Analyzing both real-time and historical datasets reveals anomalies and correlations, detects patterns and enables predictions. This approach enhances existing operations and shapes future strategies.