Discover proven visualization solutions that are already increasing efficiency, creating transparency, and enabling smart decisions on the shop floor, in the field, or within buildings.
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Whether live dashboards on the shop floor, energy cockpits in buildings, or KPI walls for management, here you’ll learn how industrial data visualization creates transparency, reduces downtime, and speeds up decision-making.
The technologies and applications presented here come from experienced partners in our network. They have been tested in industrial practice and can be flexibly integrated into your existing system landscape.
achtBytes is a german corporate startup of the STEGO Group. It is a software company with the focus on...
autosen offers sensors, automation technology and realizes potentials of the IIoT for customers. With...
b.telligent is a technology-independent consultancy with a focus on optimizing digital and data-driven...
We are CREM SOLUTIONS, a provider of software solutions for real estate management. Every day, we...
Cumulocity offers an enterprise-grade AIoT platform that connects & manages assets efficiently,...
Conneqtive focuses on real-time connectivity and IoT solutions for industrial applications. As part of...
DeDeNet supports companies in the digitization of business processes and specializes in paperless,...
doubleSlash stands for value creation with digital solutions and develops software-based products in...
Endress+Hauser is a leading supplier of products, solutions and services for industrial process...
ENLYZE Shop Floor BI helps increase productivity in continuous manufacturing and make data-driven...
EXOR International, an Italian company operating globally, has been designing, developing and...
ifm electronic gmbh with headquarters in Essen develops, produces and distributes sensors, controls,...
Discover proven visualization solutions that are already increasing efficiency, creating transparency, and enabling smart decisions on the shop floor, in the field, or within buildings.
Discover more about Cumulocity’s real-time monitoring solutions that improve water management, reduce costs, and meet sustainability goals.
Air Liquide uses thermal cameras, WAGO IoT gateways and a process control system to monitor the condition of a reactor operating at over 1000 °C in its synthesis gas plant in order to detect damage at an early stage. This allows maintenance to be planned based on condition, downtime to be avoided, and up to 15,000 tons of CO₂ to be saved annually.
An international steel manufacturer monitors the condition of its fans and motors using Honeywell’s LoRaWAN-based Equipment Health Monitoring. Early vibration analyses enabled engine damage to be detected in good time, breakdowns to be avoided, and operating costs to be significantly reduced.
Data visualization is a process in which raw measurements are transformed into instantly understandable images, charts, dashboards, or HMI views. In industrial settings, a time axis is usually at the center. Sensor readings, machine data, or energy consumption values are displayed as an ordered sequence of observations. This makes trends, peaks, or anomalies visible within seconds.
Data visualization refers to the process of collecting, preparing, and visually presenting unfiltered data streams. The goal of this process is to reveal patterns and accelerate decision-making.
Sensors, controllers, or ERP/MES systems send their raw data. An ingestion layer (for example an MQTT broker or REST API) receives the values.
An automated process filters out noise, converts units, and stores everything versioned in a time series or cloud database.
The dashboard accesses the cleaned datasets and visualizes them as line charts, heatmaps, or KPI gauges, either in real time or historically.
A Peakboard Box, for instance, combines steps 1 and 3 locally. It retrieves machine data directly from the PLC, processes it, and displays OEE values every second on the shop floor monitor. At the same time, Grafana handles long-term storage and alerting.
Visual representations make hidden trends, patterns, and relationships visible to the right users, which often remain unnoticed in tables.
Dashboards present processed data and current KPIs in real time, visualize anomalies within seconds, and can help prevent small issues from escalating.
Clear visualizations reduce coordination loops and provide reliable facts for sound decision-making.
Bottlenecks become visible to users, workflows can be streamlined in a targeted way, and equipment utilization is improved.
Whether on the shop floor, in control rooms, or in energy and building data management, the demands on modern visualization solutions are increasing. Companies in our community report specific challenges that cannot be solved with isolated solutions.
IoT sensors generate countless raw values, but only through cleansing, process knowledge, standardization, and version control can reliable visualizations and dashboards with real added value be created.
Visualizations may contain sensitive operational or personal data. Missing encryption, unclear role permissions, or unmet compliance requirements (GDPR, NIS2) make secure implementation a challenge.
PLC, MES, and ERP systems often operate in data silos and do not communicate with modern sensors. Without unified standards or concepts such as the Unified Namespace, there is no common foundation for complete and consistent visualizations.
Different users, from shop floor workers to management, need different metrics and visual formats. Without clear layout rules and thoughtful design, dashboards can become cluttered and lose user acceptance.
Smaller companies in particular often lack a central role to coordinate internal and external stakeholders. Visualization projects can stall due to missing alignment and unclear responsibilities.
Choosing between custom dashboards and standard solutions is often difficult. Tailored developments offer flexibility but come with high initial investments, while standard solutions are quicker to deploy but offer less customization.
IT, OT, and business departments do not always collaborate closely enough, leading to delays and misunderstandings.
It is not always defined who makes decisions, approves budgets, or sets technical specifications.
Important information may be lost or inconsistently documented, making knowledge difficult to share and transfer.
A modern visualization solution translates processed IoT data streams into clear insights — live, scalable, and secure. The following core functions have proven their value in projects with our partners (such as Peakboard, Grafana, Netilion Value, and others).
Connect any type of asset — from machines, equipment, devices, sensors, and measurement technology to infrastructure, IT system data, and buildings, as well as accessories and materials — and display their data securely and clearly using ready-made or customized IoT solutions from our partners.
Hear how data visualization is changing processes
This episode shows how KNF and b.telligent are digitalizing pump testing. This involves the use of edge integration, cloud infrastructure, and real-time data for predictive maintenance.
In dieser Podcastfolge wird die Digitalisierung der Überwachung und Qualitätssicherung von Industrieöfen mit der Plattform EXPERT GRID anhand des Golden-Batch-Prinzips erklärt.
This episode focuses on scalable energy management in municipalities using LoRaWAN sensors, digital water meters, and AI analyses via the Energy platform.
This episode focuses on a real-time dashboard on the shopfloor – with Peakboard and Pankl Racing Systems replacing manual processes and automatically visualizing production data.
Many IIoT projects fail not because of the idea, but because of the implementation: a lack of scalability, high operating costs and unclear requirements lead to expensive rework and a failed business case.
On our platform, you will find tried-and-tested technologies, best practices from real industry projects and the collective knowledge of our community. We show you how to avoid typical mistakes with the right technology stack – from data acquisition to AI evaluation – and how to set up your IIoT project economically and future-proof.
Discover how leading companies from our network successfully structure their projects – modular, interoperable and data-secure.
Data acquisition forms the solid foundation of your IoT application. Whether machine, operating or sensor data - accurate and reliable data acquisition enables precise analyses and data-based decisions. Modern solutions capture data directly at the machine, standardized and in real time.
Reliable data transmission is essential for every IoT process. Choose between wired (e.g. Ethernet) and wireless technologies (e.g. 5G, LoRaWAN) based on your requirements in order to optimally combine stability and flexibility.
The efficient preparation and pre-processing of your raw data ensures that it can be used immediately. Whether edge computing or local pre-processing - reduce the amount of data and significantly improve the performance of your IoT systems.
Data standardization creates the basis for efficient, cross-manufacturer communication and consistent use of data throughout the entire life cycle. Whether through protocols such as OPC UA over MQTT for secure transmission or standardized product data and digital twins - your IIoT projects remain flexible, scalable and economical.
The convergence of production technology (OT) and information technology (IT) enables you to achieve a transparent data flow without media disruptions. This allows you to eliminate data silos, speed up decision-making and optimize your operational processes in the long term.
IoT platforms form the central nervous system of your digital infrastructure. As PaaS or SaaS solutions - for example in the form of customer portals for manufacturers - they store, visualize and manage IoT data. As a result, you always have a comprehensive overview of your processes and can make well-founded, data-based decisions.
Protecting sensitive industrial and process data is a top priority. Modern security concepts ensure that your data is transmitted and stored in encrypted form and that your systems always comply with current regulatory requirements.
Efficient management of networked IoT devices is a key component of successful digitalization strategies. From commissioning and updates to decommissioning - structured device management reduces operating costs and significantly increases the security of your IoT infrastructure.
Visualized data enables faster and more precise decisions in your company. Modern dashboards and graphical presentations transform complex data streams into clear, real-time displays and create transparency at all levels of the company.
The systematic analysis of your IoT data uncovers hidden correlations and identifies optimization potential in your processes. From descriptive statistics to complex analysis procedures - gain valuable insights from your operational data for well-founded business decisions.
Data analysis is the basis for data-driven IIoT applications - from process optimization to AI-supported predictions. While traditional evaluations work with fixed rules, AI algorithms independently recognize patterns and anomalies - for predictive maintenance or quality forecasts, for example. Both approaches complement each other and optimize the potential of your IoT data.
Industry-specific IoT applications address concrete challenges with preconfigured functionalities. From production optimization to asset tracking — these specialized solutions offer rapid time-to-value and can be flexibly adapted to individual requirements.
Many companies in our network rely on open-source tools with large communities or on widely used commercial solutions for their IoT and IIoT projects. Our partners also use these tools to develop customized applications or integrate them into existing technology stacks. How about you?
Our community brings together industry experts who have already implemented successful IIoT projects – openly, practically and on an equal footing. Gain insights into how other companies have solved challenges, share your use cases and discover new ideas and concrete solutions for your business.
Every innovation starts with an idea. Discover proven use cases that support your digital transformation — from predictive maintenance to worker safety.
Real-time monitoring of machine and sensor data to reduce downtime.
Data-driven maintenance to detect failures early and cut costs.
Seamless tracking of assets and material flows in production and logistics.
Automated collection and management of production and operational data.
Want to learn more about data visualization? Get in touch—we will support you with implementation, tech stack selection, and finding the right partner from our network.
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