How can large volumes of process data be analyzed efficiently?

The iba system enables centralized acquisition and long-term storage of high-resolution raw data from a wide range of sources. ibaPDA records process, control, vibration, and energy data synchronously, while ibaHD-Server archives large data volumes efficiently. With ibaAnalyzer, this data can be searched, correlated, and analyzed interactively in detail. This makes complex relationships and hidden process deviations visible.

How does a centralized data platform support cross-department collaboration?

Different departments often require access to the same process data but for different analytical purposes. With ibaPDA and ibaHD-Server, the iba system creates a shared and consistent data foundation for production, quality assurance, maintenance, and engineering. All users access the same raw data and timestamps, enabling fact-based discussions across departments. This improves collaboration and reduces isolated data silos.

How can high-resolution raw data be used for detailed root cause analysis?

Pre-aggregated data is often insufficient to fully understand complex process issues. With ibaPDA, raw data is recorded and stored continuously at high temporal resolution. In ibaAnalyzer, users can drill down directly from KPIs or trends to the underlying raw data. This enables root cause analysis without information loss and allows even short-term events to be examined precisely.

How does edge analytics support real-time process monitoring?

Edge analytics enables process data to be processed directly where it is generated. The iba system uses edge devices such as ibaDAQ or ibaM-DAQ together with ibaPDA, ibaInCycle, and ibaInSpectra. KPIs, limit violations, and anomalies are calculated and monitored in real time without transferring all raw data to higher-level systems. This allows processes to be evaluated faster and deviations to be detected immediately.

How can data analyses be visualized for different user groups?

Different user groups require customized views of process data and KPIs. With ibaDaVIS, web-based dashboards can be created to visualize KPIs, trends, and analyses interactively. Flexible filtering and drill-down functions allow users to access raw data directly from aggregated KPIs. This provides production, quality assurance, and management teams with exactly the information needed for data-driven decisions.

Data Analytics

Key Users

As manufacturing processes become increasingly complex and fast-paced, companies must find ways to analyze and utilize data across departments effectively. The iba system provides powerful tools to transform raw data into valuable insights, driving process optimization and seamless collaboration.

Insights Applications Customers Succes Stories

Unlock the Full Potential of Process Data

Manufacturing companies are increasingly confronted with the complexity of analyzing vast amounts of process data and ensuring smooth collaboration between departments. With the iba system, a uniform and holistic digital strategy can be implemented. The ability to retrieve and analyze data in real time ensures improved collaboration and process optimization in all areas.

Holistic process visibility

by recording all relevant process data in one system

Process large data sets

to gain valuable insights

Share relevant data

across different departments

Implement Edge Analytics

for real-time monitoring

Capture and analyze

high-resolution raw data

Thanks to the iba system, we have much more data available than before. This is the basis for completely new insights which helps us to solve problems more quickly.

Ufuk Karvan
Head of Process and Systems Engineering, BILSTEIN GROUP

Explore Our Applications

Successful applications and real solutions with the iba system.

Long-Term Analysis

The iba system enables continuous acquisition and long-term storage of process and machine data in high temporal resolution. All data is centrally…

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A man with crossed arms in a light blue shirt stands in a large factory next to a partially transparent diagram overlay.

Process Monitoring

Automated real time monitoring of processes, machines and plants is based on acquired measurement data, camera images and calculated characteristic…

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A man in a light blue shirt smiles in front of a factory setting, with a transparent overlay showing process monitoring data and graphs.

Edge Analytics: Analyze Process Data Where it is Generated

Edge analytics applications allow you to monitor processes locally in real time based on process data. The locally acquired process data can be…

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Improve Crane Uptime Through Intelligent Online Monitoring

Overhead cranes are key components in many production and logistics facilities. It is therefore essential to identify potential fault sources at an…

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Unlocking the Full Potential of Measurement Data: A Value Creation Approach Through Digitalization

Increasing complexity and process speed pose significant challenges for technology-intensive manufacturing companies. Not only do these factors make…

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Large industrial factory hall overlaid with glowing text and logos for technology companies.

So Near and Yet so Far: From Process Analysis at the Edge to KPIs in the Cloud

The more complex a system is, the greater the number of components involved in the process. However, as these influence each other, the impact of the…

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Democratizing Measurement Data – An Approach to Cross-Departmental Value Creation

To fully unlock the potential of measurement data, it must be democratized – made holistically accessible and usable across all user groups.

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Data unlocks its full potential when it is made accessible for different user groups

Companies That Rely on iba

These leading companies already rely on the iba system.

Success Stories

Read the inspiring success stories of our satisfied customers.

Test the iba System Now!

Download the demo of ibaPDA and ibaAnalyzer and start optimizing your processes today. Try it free of charge for 30 days!

Request a ibaPDA-Demo License

Frequently Asked Questions (FAQ)

How can large volumes of process data be analyzed efficiently?: The iba system enables centralized acquisition and long-term storage of high-resolution raw data from a wide range of sources. ibaPDA records process, control, vibration, and energy data synchronously, while ibaHD-Server archives large data volumes efficiently. With ibaAnalyzer, this data can be searched, correlated, and analyzed interactively in detail. This makes complex relationships and hidden process deviations visible.
How does a centralized data platform support cross-department collaboration?: Different departments often require access to the same process data but for different analytical purposes. With ibaPDA and ibaHD-Server, the iba system creates a shared and consistent data foundation for production, quality assurance, maintenance, and engineering. All users access the same raw data and timestamps, enabling fact-based discussions across departments. This improves collaboration and reduces isolated data silos.
How can high-resolution raw data be used for detailed root cause analysis?: Pre-aggregated data is often insufficient to fully understand complex process issues. With ibaPDA, raw data is recorded and stored continuously at high temporal resolution. In ibaAnalyzer, users can drill down directly from KPIs or trends to the underlying raw data. This enables root cause analysis without information loss and allows even short-term events to be examined precisely.
How does edge analytics support real-time process monitoring?: Edge analytics enables process data to be processed directly where it is generated. The iba system uses edge devices such as ibaDAQ or ibaM-DAQ together with ibaPDA, ibaInCycle, and ibaInSpectra. KPIs, limit violations, and anomalies are calculated and monitored in real time without transferring all raw data to higher-level systems. This allows processes to be evaluated faster and deviations to be detected immediately.
How can data analyses be visualized for different user groups?: Different user groups require customized views of process data and KPIs. With ibaDaVIS, web-based dashboards can be created to visualize KPIs, trends, and analyses interactively. Flexible filtering and drill-down functions allow users to access raw data directly from aggregated KPIs. This provides production, quality assurance, and management teams with exactly the information needed for data-driven decisions.