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Glossary

What is IoT (Internet of Things)?

The Internet of Things (IoT) connects physical devices and machines via the internet in order to collect and exchange data and enable automated processes. Billions of connected devices – from industrial sensors to the smart home thermostat – continuously capture data and create the basis for data-driven decisions, efficiency gains, and new business models.

AT A GLANCE

At a glance

  • Network of interconnected devices that capture and process data through sensors and software.
  • Revolutionizes diverse industries such as Industry 4.0, smart home, logistics, healthcare, agriculture.
  • Based on technologies such as sensors, cloud computing, big data analytics and edge computing.
  • Foundation for predictive maintenance, smart logistics and autonomous systems.

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DEFINITION

Internet of Things definition

IoT is the abbreviation for Internet of Things and describes the growing network of physical objects that are connected to one another and to the internet through sensors, software and other technologies. These “smart” devices, from everyday household items such as thermostats and lamps to complex industrial facilities, continuously collect data about their environment or their own condition. This data is analyzed and shared with other devices or central systems in order to optimize processes, make automatic decisions or provide users with valuable insights.

Thanks to the rapid advances in telecommunications and the development of low-cost computer chips, billions of such devices are now connected worldwide. IoT not only enables the automation and remote control of devices but also makes it possible to use resources more efficiently and gain new, data-based insights. This technology has the potential to fundamentally change the way we live and work by enabling seamless interactions between the physical and digital worlds.

In short, explained simply: The Internet of Things (IoT) connects everyday devices and machines to the internet so that they can collect and share data and respond automatically to their environment, making our lives more efficient and more connected.

„With DeltaMaster, we analyze the sensor data of our machines in real time and detect impending failures early. The graphical tables make even high-frequency technical data immediately understandable for our business users.“
Head of Controlling
Industrial company
BACKGROUND

What technologies do you need for IoT?

The Internet of Things is based on a variety of technologies that work together to intelligently connect devices, machines and systems, to collect, transmit and process data and to turn it into meaningful actions. The most important technologies that make IoT possible are:

  • Sensors and actuators: Sensors capture environmental data such as temperature, light or pressure. Actuators turn this data into physical actions, for example by opening a valve or switching on a motor.
  • Connectivity: Wi-Fi, Bluetooth and mobile networks are common technologies that establish connections between devices and the cloud. They ensure communication between devices and enable the real-time transmission of data.
  • Cloud Computing: The enormous amount of data generated by IoT devices is usually stored and processed in the cloud, as it provides the necessary infrastructure to develop, operate and scale IoT applications.
  • Big Data Analytics: Analyzing the vast amounts of data that IoT devices generate is crucial for gaining valuable insights. Big data tools such as machine learning and predictive analytics help to identify patterns and make well-founded decisions.
  • Security and data protection technologies: Technologies such as encryption, access controls and intrusion detection systems protect IoT devices and the data they generate from cyberattacks and ensure data protection.

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HOW IT WORKS

How does the Internet of Things work?

A typical example of an IoT device is a smart home thermostat that measures the temperature, sends the data to the cloud, analyzes it there and adjusts the heating based on the results. IoT thus follows this process:

  • Data collection: First, sensors in the IoT devices capture various data such as temperature, motion or light.
  • Data transmission: The captured data is then transmitted in real time via networks such as Wi-Fi, mobile networks or specialized IoT networks to a central location, often a cloud platform.
  • Data processing: At this point, the data is stored and processed, frequently using big data technologies and artificial intelligence (AI), to recognize patterns or automate decisions. In some cases, the data processing takes place directly on or near the device. This is referred to as edge computing and serves to shorten response times and reduce the amount of data transmitted.
  • Response and action: After processing, automated actions can be triggered, such as controlling other devices or sending notifications to the user. Via mobile apps, web interfaces or special dashboards, users can view the data and configure settings on the devices.
BENEFITS

What are the benefits of the Internet of Things?

The Internet of Things offers companies numerous benefits, which is why it has become a key technology of the modern economy and continues to gain relevance.

Improved efficiency

By automating and optimizing processes using IoT applications and IoT devices, companies can increase their productivity. For example, IoT sensors enable the continuous monitoring of machines, allowing potential problems to be identified and resolved early, before they lead to costly failures.

Data-driven decision-making

IoT devices generate large volumes of data, for example on customer behavior or market trends. Companies can use this data to make well-founded decisions. Strategic planning and resource allocation can be optimized as a result.

Cost savings

Thanks to the automation of repetitive tasks, companies can reduce their operating costs and increase profitability. Monitoring and optimizing energy consumption using IoT devices, for example, saves costs and contributes to greater sustainability.

Customer experience

By capturing and analyzing customer data, companies can create personalized and engaging experiences, for example through targeted offers based on customer behavior.

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EXAMPLES

Where is IoT used? – Examples of IoT in practice

IoT is used in numerous industries where connected devices and sensors continuously capture data and thus optimize processes. The following examples show typical fields of application in companies.

Industry 4.0

In industrial manufacturing, IoT monitors machine performance, detects failures early, and optimizes production processes. Sensors measure temperature and humidity to ensure optimal production conditions.

Agriculture

Farmers monitor soil moisture, weather conditions, and the condition of plants. This data enables more precise irrigation and improves yields.

Medicine and health

IoT devices enable the remote monitoring of patients and the capture of vital data such as heart rate and blood pressure. This allows health problems to be detected early and treatment processes to be optimized.

Smart home

Lighting, heating, and security systems can be automated and controlled remotely. This provides greater comfort and energy efficiency in everyday life.

Transport and logistics

IoT supports the optimization of routes, the monitoring of vehicles, and the tracking of deliveries. This reduces transport costs and increases the security of goods.

Smart City

In cities, networked sensors capture data on traffic flow, air quality, and energy consumption. On this basis, infrastructure and public services can be managed more efficiently, for example through adaptive traffic control or demand-based street lighting.

Where would you like to use IoT (Internet of Things)?

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Bissantz and IoT

Bissantz leverages the potential of the Internet of Things in a targeted way to take data-driven corporate management to a new level. The business intelligence software DeltaMaster is able to integrate data from IoT sources such as machines, sensors, vehicles or production facilities and evaluate it in real time. This allows companies to analyze machine conditions, energy consumption or supply chain data directly, identify trends and derive automated decisions.

Bissantz not only establishes the connection to IoT data but also ensures its management-oriented preparation: the typical graphical tables, the proven two-color logic (red-blue) and typographically scaled numbers make even high-frequency, technical data immediately understandable for business users.

In IoT scenarios such as predictive maintenance, smart logistics or Industry 4.0, Bissantz thus delivers a robust BI platform that transforms IoT data into business-relevant insights – simply, efficiently and in a visually well-considered manner.

FunctionBenefit
Integration of IoT data analyze data from machines, sensors, vehicles, and plants in real time
Graphical tables present high-frequency, technical data in a way that is immediately understandable for business users
Two-color logic (red-blue) make variances and conditions recognizable at a glance
Typographically scaled numbers make relevant magnitudes quickly graspable visually
„We integrate our supply chain and vehicle data into DeltaMaster and thus keep track of the condition of our fleet at all times. The management-oriented preparation helps us to optimize routes and costs in a targeted way.“
Head of IT
Logistics service provider
FAQ

Frequently asked questions

What is IoT, explained simply?

IoT means that everyday devices and machines are connected to the internet and communicate with one another – without people having to actively intervene. A simple example: your refrigerator recognizes that the milk is running low and automatically reorders it. In an industrial context, a sensor on a machine continuously measures temperature and vibration – and automatically reports when maintenance is needed, before the machine fails.

What is the difference between IoT and Industry 4.0?

Industry 4.0 refers to the digital transformation of industrial production – IoT is one of the core technologies that enables Industry 4.0. While IoT is the overarching term for connected devices, the Industrial Internet of Things (IIoT) refers to the specific use of IoT in production and manufacturing environments. Industry 4.0 additionally encompasses AI, robotics, cloud computing and other technologies.

What security risks does IoT entail?

IoT devices are potential targets for cyberattacks: every connected device is a possible entry point into the corporate network. Typical risks are insecure default passwords, missing encryption and poor update management. Companies should operate IoT devices in separate network segments, apply regular security updates and consistently implement access controls.

How does DeltaMaster integrate IoT data?

DeltaMaster can integrate data from IoT sources – machine sensors, production facilities, logistics systems – via standardized interfaces. The data is translated into business KPIs, prepared visually and analyzed in real time. Variances are detected automatically and shown in the controlling cockpit – for corporate management that responds to production data just as it does to financial metrics.

SUMMARY

Summary

The Internet of Things connects the physical and digital worlds: billions of connected devices continuously capture data that is analyzed in real time, processed automatically and turned into decisions. IoT revolutionizes industry, logistics, healthcare and everyday life – and creates the data foundation for a new generation of data-driven corporate management. Bissantz integrates IoT data into DeltaMaster and makes it relevant for management: from predictive maintenance through energy optimization to smart logistics – transparent, up to date and prepared in a visually understandable way.

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