Diagnostic analytics and the benefits of running an automated root cause analysis

An diagnostic analytics can identify factors that cause defects or quality deviations is the first step towards to minimize the percentage of faulty units in your production, and we’ll show you why running an automated Root cause analysis is definitely the most effective tool for that. Let’s answer the two most important queries about it:

How do you perform an effective root cause analysis with a diagnostic analytics?

Root cause identification has been a very challenging problem particularly when a big number of processes and activities are performed.


In order to better understand the real reason for each failure in your industry, tracing defective problems (defective component, human problem, design problems, test problem, false alarms) is a crucial step. This information is complemented with reports from the automated testing equipment and the specific feedback from the technician that actually fixed the faulty unit.

We combine the information provided by the technicians that repair faulty units to make sure we know all it takes to improve your manufacturing line.
Reviewing this data our diagnostic analytics can definitely help to further investigate quality issues and even initiate changes in the product design towards better manufacturability.

How Diagnostic analytics improve efficiency and quality in manufacturing?

As we do not dedicate enough time to get all those feedbacks immediately for every faulty unit that was repaired we strongly recommend the need to use an diagnostics analytics system that analyzes the repairs activities while visualizing them in real-time for you.

This makes your manufacturing process smatter. We make all the efforts so you will spend less time on figuring out the problem, and will take advantage of having more time spent on fixing and preventing any issues.

Diagnostic Analytics that combines automated test equipment with manual data

The combination of data analytics from automated test equipment together with the repair analytics provides a very reliable, accurate, and quick root cause analysis process.

The analytics system should automatically make a direct conclusion between the error code reported by the Automated test equipment and the repair analytics of the same unit which was done by the repairs technician, integrating high levels of adaptability and rapid design changes.

Quality control in manufacturing by Diagnostic analytics

Smart manufacturing technologies enhance the manufacturing process continuously collecting and analyzing your data in real-time to achieve and maintain quality performance.

Our clients report a 30% increase in quality and yield in the first year of use. Companies can Reduce downtime incidents and have an average of 4 months ROI (return on

How does it work?

QualityLine automatically creates a diagnostic analytics and interactive dashboard system that automatically predicts and sends alerts for any anomaly detection to prevent degradation in the manufacturing process.

Our manufacturing analytics solution let you gain full end-to-end transparency over the whole manufacturing cycle with accurate information about each unit tested. An automated root cause analysis will reduce manufacturing waste and minimize failure rate, improving your production efficiency and quality.