Much faster audits
Due to automated traceability
2,000+ Manufacturers
Using DataLyzer globally
Substantial Cost Reduction
Achieved on average per client
Weeks
From demo to live
Big Data and Industry 4.0
Nowadays, production sites operate in global markets where performance, quality, and efficiency are critical. The production environment is complex—often spanning multiple sites, facilities, and interconnected systems. Traditional boundaries between PLCs, MES, LIMS, ERP and Quality Control systems are disappearing. New paradigms such as the Industrial Internet of Things (IIoT), Big Data, and Artificial Intelligence are reshaping how modern manufacturing operates.
By leveraging new technologies, you can further enhance automation, improve transparency, and drive operational efficiency across your entire organization.
Different industries apply these innovations in different ways. For instance, manufacturers of consumer goods increasingly seek to use social networking to connect with their customers, whereas manufacturers of intermediate products strive to achieve more flexible, and consistent process automation with zero-defect manufacturing and real-time networking in the supply chain. What all these approaches share is a common foundation: Secure, reliable, and real-time data connectivity across all systems, assets, and locations worldwide.
This unified data layer empowers every decision-maker in your organization—providing the right insights, at the right time, on any device. At the same time, it creates a scalable integration platform for future applications.
Connected Factory
Our flexible data integration possibilities allow for advanced and predictive analysis and Statistical Process Control to accelerate continuous improvement.
Big Data, Machine Learning & Statistical Process Control (SPC)
With IoT devices and PLCs, manufacturers can now collect vast amounts of process and production data. Advanced analytics and AI models can use this data to understand, predict, and optimize performance. However, data quality remains critical.
Even the most advanced models lose effectiveness if the underlying data is not stable or controlled. That’s why maintaining statistical process control is essential.
A controlled process delivers greater predictability and consistently higher product quality and reliable data that can be used to train accurate Machine Learning models
Breaking Down IT/OT Silos
Modern manufacturing demands information continuity.
It’s time to move beyond fragmented IT architectures and eliminate the historical divide OT and IT. By enabling seamless, real-time data flow across the enterprise, organizations can unlock significant value and align teams around shared insights.
Datalyzer offers an open web-based system based on state-of-the-art technology. Flexible installation and licensing models, restAPIs, DLLs, an embedded Python programming environment all ensure Datalyzer is the frontrunner in the quality software world.
From Data Collection to Predictive Control
Modern architectures increasingly rely on lightweight, scalable protocols like MQTT to connect devices and collect data efficiently across the enterprise.
Once your processes are stable and your data is reliable, advanced analytics can take over. Our software enables Machine Learning models (such as Random Forest) to predict process outcomes and detect deviations before they impact production and guides operations real-time to prevent scrap and production loss.
This means issues can be identified and corrected long before they become costly problems —transforming your operations from reactive to proactive.
“Datalyzer is a key partner for Philips Healthcare. Datalyzer has implemented an SPC solution which is used to monitor the complete plant. The SPC solution collect data automatically from machines which saves a huge amount of time to monitor the plant within Manufacturing and analyze the data for Product and Process Development and to comply to FDA regulations.“
“We use DataLyzer Qualis to maintain a growing number of SPC charts for our semiconductor wafer fab. Some charts are monitored daily, some are used only for troubleshooting; whilst others exist more-or-less to “see if we can find anything”. Recently, we added the FMEA module. I’d say that Datalyzer is helping us most by providing a glimpse into how our troubleshooting and product/process development might eventually work.“
“Using Datalyzer SPC makes it easy for the manufacturing side to control their processes and to review Cpk data. We release our processes to the next process by reviewing the Cpk. Additionally, we use the historical data for certain analytical engineering studies for continuous improvement. We know that we are not fully utilizing this software, but what we use is really helpful.“
“Neways Electronics is investing heavily in continuous improvement of their processes. Part of the continuous improvement process is the development of an efficient data architecture where data will be collected automatically from all production processes and testers. Datalyzer is supporting this process with training, consultancy and software components.“
“Callaway Golf closely monitors continuous improvement in all processes in our own plants as well as with suppliers. Callaway Golf works with Datalyzer to implement SPC worldwide where we have the option to follow all processes real time in every location world wide.“
“TF-AMD has worked closely with Datalyzer over the past years to continuously improve our process control solutions in our global operations. Datalyzer is now completely integrated in our manufacturing environment. Over the years Datalyzer has proven to be a very trustworthy partner.“
“We are using Datalyzer SPC to control and monitor all input of all daily production quality data into all satellites workstations by shop floor users. It provides us the required charts and reports for trouble shooting and process improvement to ensure that we have efficient quality control to our product. We have received dedicated support from the Datalyzer team before, during and after completion of the implementation project”
“Heineken Nederland uses Datalyzer solutions to import the quality data of European suppliers into the central SPC database in our head office which offers the opportunity to link external quality to internal quality and productivity.“
“We use Datalyzer FMEA to control our PFMEAs for all products. The support of the AIAG/VDA FMEA format is an excellent feature. The Open Actions Report is extremely useful as we can easily see all the open actions across all FMEAs in just a couple of clicks. A wise investment for any organization aiming to better the way they manage their FMEAs vs Excel and to support industry accreditations!“
9%
Cost Reduction Achieved by customers
What customers say
“Datalyzer helped us automatically link quality data from all processes for advanced analysis”
Dave Beeren
Yield Engineer, Philips
Industries we serve
ISO Certified
ISO 27001 & SOC2
How fast can we go live?
Most customers are fully up and running within a 3 to 4 weeks, thanks to our efficient modular setup and proven implementation approach.
Can we start small and scale later?
Yes, all our software modules works with (concurrent) user licenses so you can add licenses as you go. You can add users or multiple sites (plants) where each user will only see their own data. Authorization limits access for each user to only their relevant data.
Is support available in our language?
Our software is available in English, Spanish, French, German, Chinese Simplified, Chinese traditional, Portuguese (Portugal & Brazil), Dutch, Finnish, Danish, Hungarian and Malay. Additional languages can be added quickly. Within the system users can work in their own language simultaneously. We have offices all over the globe and can also provide support in most languages.
Does Datalyzer integrate with our current systems?
There are many integrations possibilities available with Datalyzer using, amongst others, our web API, a full functional DLL or our Python Service Manager environment. We can handle import and exports from and to Excel, files and databases. We also integrate with OEE, ERP, LIMS, MES etc.
