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IoT Data Integration

Data Connectivity

Integrating IoT device data with enterprise data platforms is vital for Manufacturing 4.0 as it provides real-time insights into the performance and status of equipment and processes. The main challenge here is integrating the distinct worlds of enterprise data-centric, cloud-based IT with Operational Technology (OT), responsible for monitoring events, processes and devices at site level.
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How to effectively integrate IoT data

IoT connectivity is about bringing site level industrial data to Enterprise Data Platforms, allowing for data analytics at scale with cloud-based computing. It allows for continuous monitoring and data collection from various sensors and devices across the production line. By leveraging this integrated data in Enterprise Data Platforms, manufacturers can enhance predictive maintenance, reduce downtime, and optimize production schedules. Additionally, IoT data integration enables better quality control and faster response to anomalies, ensuring consistent product quality and efficiency in operations. Ultimately, it supports a more agile, responsive, and data-driven manufacturing ecosystem.

Use AI on industrial data to operate more effectively.

With industrial data integrated with cloud-based Enterprise Data Platforms organization can fully benefit from AI breakthroughs. Train models in the cloud and use in real-time on the edge environments.

Modernize for the future – cloud data processing.

With industrial data integrated with cloud-based Enterprise Data Platforms, organizations may start thinking on moving some processes away from manufacturing sites to gain benefits from in-cloud computing. For example, organizations operating in regulated industries needs to store historical data for compliance purposes – in future such “Historians” could reside in the cloud to minimize cost and maximize reliability.

Predictive maintenance

IoT data connectivity allows for advanced proactive device monitoring to predict potential equipment failures before they occur, reducing downtime and maintenance costs.

Quality control and assurance

IoT data connectivity allows to identify defects or deviations in real-time, so manufacturers can make immediate adjustments, reducing waste and rework. Automated quality checks enhance consistency and compliance with regulatory standards, leading to higher customer satisfaction and reduced costs associated with poor quality.

Effective IoT Data Integration requires modernizing of the edge infrastructure by “bringing cloud to the manufacturing sites”. With this approach organization may safely scale site level computing resources to provide local IoT data processing, local data caching and close the control loop with machine learning algorithms.

Overview

Data connectivity empowers businesses by connecting data from diverse data sources, such as sensors and IoT devices. This connected data is essential for Manufacturing 4.0 and ensures continuous monitoring and data collection, promoting analytics at scale. Our effective Data Connectivity solutions are designed to tackle common data connectivity challenges by preventing data silos, prioritizing data security, enabling smooth data transfer, and helping maintain data integrity. To do this, we leverage various data connectivity platforms and tools, such as cloud platforms and database management systems. Ultimately, IoT data integration can improve business operations, ensure consistent product quality, reduce downtime, and modernize your organization.

Experts in the field

Przemysław Warecki
Head of Application Integration
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Wojciech Winnicki
Chief Technology Officer, Member of the Management Board
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