Convincing Reference Projects

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Solve the Challenges

Manual data analysis to improve KPI’s often requires a lot of time and expertise and just does not help live and in-process.

Unlock the Potential

Integrate automated trend analysis & prediction into any software easily for better process, machine or business KPIs.

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Is it an OUTLIER?

Get to know about any anomalous parameter value and know if it is an outlier or requires action.

When did it CHANGE?

In case of systematical changes you will know about when the actual change started to find and eliminate its origin.

How will it PROCEED?

Know when important thresholds will be crossed and act instead of react to ensure stability or plan improvements.


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Customer Reference: TSAF for Predicting Measurement Values & Process Capabilities

The company Hexagon integrated TSAF into the Q-DAS qs-STAT software to predict critical measurement values & process capabilities in quality assurance.

How to start?

We will guide you through 6 systematic steps in less than 6 months. Get a reliable proof-of-concept in the most cost-efficient way!

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  • Understand your use-case and parameter data

  • Know how to format your parameter data

  • We extract and show the full data potential

  • Know the feasibility and ROI for your use-case

  • We integrate a pilot into any of your dashboards

  • Get roadmap after a successful proof of concept


Case Studies

Leading companies trust on IconPro.

Manufacturing – Visual Inspection

Manufacturing – Visual Inspection

Project Subtitle
System for adaptive phototonic surface testing with adaptive image evaluation in combination with a cleaning system.

Companies and Partners

Energy – Minimize Consumption

Energy – Minimize Consumption

Project Subtitle
Automation of network edge infrastructure & applications with artificial intelligence

Companies & Partners
Opel Automobile GmbH, Frau…

Mechanical – Wire Eroding

Mechanical – Wire Eroding

Project Subtitle
Data-based evaluation of the wire electrical discharge machining process

Companies & Partners
WBA Aachener Werkzeugbau Akademie GmbH, Mak…

Our Offering

Make it as easy, reliable and cost-efficient for you as possible.
We cover the full range of services.
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Our team will be happy to help you. Get in touch!



What is Trend Analysis?

Trend analysis in statistics is a method of data analysis that examines historical data to identify trends or patterns over time. This analysis involves calculating statistical ratios such as average, median, variance, and regression to identify changes or trends in the data. The goal is to gain insight into how data evolves over time and make informed decisions based on that insight.


How are Trend Analysis and Trend Prediction related?

Trend analysis and trend forecasting are closely related. Trend analysis identifies historical trends or patterns in data, while trend prediction relies on extrapolating those trends into the future. Trend analysis provides the basis for prediction by analyzing past trends. Trend prediction is particularly useful for estimating future values or events based on identified trends.


What are Examples of Applications for Trend Analysis and Trend Prediction?

In manufacturing and quality assurance, trend analysis and trend prediction are used to examine historical quality data and production performance. Examples of trend analysis include identifying seasonal variations in product quality or detecting long-term improvements or deteriorations in manufacturing processes. These analyses enable companies to proactively respond to quality issues and correct processes.


Can Trend Analysis and Trend Prediction be automated?

Yes, both trend analysis and trend prediction can be automated. Advanced data analytics tools and software platforms offer capabilities for automated trend detection and analysis. These systems can process large amounts of data and identify patterns in real time. Automated trend analysis and prediction are particularly useful in Industry 4.0 and quality assurance, as they enable continuous monitoring and rapid response to changes.