Seamless data flows. Smart analyses. Better decisions.
There is plenty of data - the question is how to use it efficiently. TRANSCONNECT ensures that relevant information from different systems flows together, is analyzed and is available in meaningful reports. Whether supply chain reporting, energy data management, emissions reporting, digital product passports or master data management, our low-code platform enables companies to maintain an overview and make data-based decisions in real time. Secure, automated and highly integrated.
TRANSCONNECT makes it possible to record, analyze and monitor energy consumption in your production in real time.The integration of data from machines, IoT-enabled measuring devices and systems such as ERP or document management creates a complete picture of your energy flows, enabling you to avoid peak loads, use resources more efficiently and implement targeted energy-saving measures.
Real-time transparency: You gain immediate insight into the energy consumption of your systems + processes.
Centralized data storage: All relevant energy data is collected in one place and can be accessed at any time.
Increased efficiency: Inefficient processes are identified and optimized by analyzing the energy data.
Sustainability: Reduce your energy consumption and actively contribute to your sustainability goals.
With rising energy prices, it is crucial to avoid unnecessary load peaks and prevent a tariff upgrade. TRANSCONNECT supports you in optimizing your energy consumption and reducing costs.Implement effective energy data management and create awareness of where the energy values in your company are going. Optimize your production processes and achieve your sustainability goals with TRANSCONNECT.
The Digital Product Passport is at the heart of European efforts to make products more sustainable and promote the circular economy. It records comprehensive information about a product - from the materials used to repair options and disposal. The aim is to create transparency along the entire product life cycle.
Challenges for companies:
Data integration
Information comes from different phases of the product life cycle and must be consolidated
System networking
Internal and external IT systems must communicate seamlessly with each other.
Transparency
Companies associate the term digital twin with many approaches and hopes for the implementation of a digital product passport. Here, the necessary systems are linked together and all master and transaction data, e.g. from machines and systems, measurement data and material information, is brought together in one place. This virtual image provides the basis for the digital product passport.
Every device in the factory can become an intelligent object with an integrated sensor. If every sensor is connected to the internet, all data and information flows into the digital twin. External data from suppliers, weather conditions or delivery conditions are also included.
"From a technical point of view, all the necessary internal and external systems are connected via a central point. This is where all data and information come together: Product components, materials, (chemical) substances, sustainability (lifecycle CO2 emissions) and after-sales information (disposal/recycling, dismantling instructions, reparability). The desired information is then made visible and accessible to the respective target group via a digital interface."
Eduard Daoud, Sales Director International Business, TRANSCONNECT
They promote eco-design by structuring the data of all actors in the value and supply chain.
They realize customer transparency (reliable information from consumers for consumer decisions).
They provide the basis for a circular economy.
All your efforts result in resource efficiency.
In order to identify the most important data objects, you need a technology solution that connects systems and applications and brings the necessary data together in a central location. TRANSCONNECT aims to capture your data once, generate a uniform understanding of the data and ensure high data quality. TRANSCONNECT identifies the most important data entities, establishes data governance guidelines, develops data models and defines data quality rules.
Master Data Management (MDM) is a process in which you identify, categorize and manage your company's most important data stocks in a central system. This gives you a single source for providing data.
1. synchronization of inventory-managing systems with decentralized data sovereignty:
In this scenario, it is determined which system is the "master" for which data. Continuous synchronization between all systems ensures that the correct data is available everywhere.
2. synchronization of inventory-managing systems with central data sovereignty:
If the system landscape is supplemented by a central "master" system (e.g. a database) in which all data is stored, a so-called single point of truth or data hub is created - a central point where all data is correct. All other systems receive their data from this central system and in turn pass on authorized changes to this system.
You get greater data accuracy, greater data consistency, better data management and less data redundancy. This increases the efficiency of your production and saves costs. TRANSCONNECT streamlines data-related processes and reduces your data maintenance effort. By consolidating your data and creating a consistent information architecture, you minimize the manual effort required to correct inconsistent data and avoid additional costs for double entries or duplicates. At the same time, you streamline your architecture and reduce the effort and costs of maintaining it.
Efficient decision-making: A "single source of truth" enables well-founded business decisions.
Cost savings: Reduced data redundancy and improved processes reduce operational costs.
Optimized customer relationships: A complete customer profile promotes personalized interactions and increases satisfaction.
Streamlined system landscape: MDM helps to reduce the number of interfaces and simplify the IT infrastructure.
Avoidance of irrelevant data records: Clear data standards eliminate unnecessary or duplicate data records.