Cesonia offers, in contrast to today’s non-efficient cloud-based collaboration solutions. A cross-enterprise collaboration platform for the highly demanding and ever-growing global business needs dealing with several partners, the requirement for an impregnable data management/communication solution is vital. Meeting the data sharing needs of multiple industries, the versatility of Cesonia opens the doors to countless possible use cases and applications based on individual business needs and industries.
A decentralized, powerful and heterogeneous infrastructure connects organizations and their systems using a virtual data room with the freedom to implement tailored business applications yet maintaining the single point of truth.
Digitalization across all industries is in rapid motion. Technologies, such as data analytics and artificial intelligence, are becoming increasingly widespread and being looked at for answers and insights. Managed access to reliable and up-to-date data is a prerequisite for the profitable use of these technologies.
This also applies largely to mobility. The increasing volume of traffic confronts cities and municipalities with ever greater problems and calls for new approaches and solutions. A possible solution is an optimized and holistic traffic control by intelligent and networked traffic lights as well as digital and dynamic traffic control systems. The aim is to record traffic in real-time and adapt its control to individual circumstances.
A uniform data view for all parties is essential to ensure integrated traffic management. This requires a cross-system exchange of relevant and heterogeneous data and information, especially between cities and municipalities.
Cesonia offers the solution. Thanks to its powerful and decentralized infrastructure, the Cesonia platform enables networking across all systems. The data sovereignty and control of all legally independent parties are guaranteed at any time. The direct and traceable exchange of data enables a "Single Point of Truth" and thus is the basis for integrated traffic management.
The enormous added value lies in a uniform data view and consistent database despite having a decentralized data storage in a variety of different systems. This enables an overall view of the traffic flow as well as real-time control.
In a global and digital business world, companies are starting to increasingly work in widely ramified value networks. Companies are working on common products and services the ability to effectively coordinate with all parties can determine the success or failure of projects.
The problem lies particularly in versatile siloed and isolated solutions and the associated lack of access to current and reliable data and information. Studies show that up to 80% of all required data exists outside of the organizations themselves, which makes it impossible for all involved parties to have a holistic and unified view of the data.
In order to coordinate all parties as closely as possible within a supply chain, it is necessary to create a common basis in which full data sovereignty and control can be guaranteed for every company at all times.
Cesonia offers the opportunity to connect all participating companies in a supply chain and their various IT systems. Our framework allows the development of individual solutions for a data-driven, cross-company collaboration. The data required for this will not only remain stored at the original source but also be made available using a virtual data room in real-time when required.
Cesonia guarantees a unified database and enables the synchronization of individual business processes across company boundaries. As an intermediary, Cesonia creates the necessary legal framework for the exchange of data and a trustworthy cooperation.
As long as the production lines keep running smoothly, parts being produced permanently and in constant quality, everything is in order. However, closely timed production and just-in-time deliveries leave less and less room for errors and malfunctions.
For this reason, the idea of predictive maintenance is not only gaining traction but becoming more of a necessity. The aim is not only to increase system availability but save on maintenance costs at the same time. The data generated for this purpose must be analyzed and the results are transmitted to the maintenance service provider along with the scheduling of the maintenance tasks. Due to the lack of systemic integration of all involved parties, this is still mostly a manual and static process.
The aim is to grant all involved parties fast and secure access to relevant data in order to keep the coordination effort as low and as flexible as possible. This includes not only machine and maintenance-related data, but also planning and appointment data.
Cesonia allows the systemic fusion of all relevant parties, such as machine operators, maintenance service providers as well as customers, suppliers, and logistical service providers. This allows the exchange of relevant information, such as machine and planning data. This is necessary since the optimal time for maintenance is strongly influenced by external factors in addition to internal conditions.
A complete database allows the best possible maintenance time to be determined and, thanks to a data-driven real-time collaboration, to react flexibly and quickly to changing circumstances.
Individual and flexible customer requirements as well as shorter product life cycles have an enormous influence on product development and production. Despite the increased complexity, product quality must be guaranteed at all times. This poses a particular challenge to the assurance of component quality.
This is exacerbated by just-in-time delivery, which hardly permits delays, and also entails the risk of production delays due to defective or poor quality components, which must therefore be detected as early as possible. The challenge lies in the accessibility of the relevant information about the processes and component quality within the supply chain.
In order to make data on processes and component quality accessible in a controlled and traceable manner, it is necessary to establish a platform that supports and automates the cross-system exchange of distributed data.
Cesonia makes this possible through the underlying infrastructure and networking of decentralized systems. Access to reliable quality data with full sovereignty by the data owner not only allows early detection of faults and quality problems but also enables determining the best fit. This means that components that fit together as closely as possible in terms of tolerances are brought together during assembly.
Cesonia thus not only enables more trouble-free production through access to relevant data for the early detection of problems, but also allows an increase in quality through an optimal fit.
Digitalization has made its way into research and even traditional disciplines, such as archaeology or medicine, have to deal with the associated challenges and adapt existing processes to the new situations and possibilities.
In particular, this applies to the way in which data is documented, archived, and made accessible for subsequent use. Research fields such as archaeology and medicine are extremely fragmented and the collection of data on the various disciplines is enormously time-consuming.
Further challenges in the field of data privacy protection will be faced in different areas such as the medical field making evident future possibilities in the field of science.
In order to enable an efficient and holistic use of research data, it is necessary to combine them coming from a variety of different systems. The aim is to provide an overall view of related data, whereby individual data sources are rarely known to the user.
As an infrastructure platform, Cesonia networks all these data sources and systems, thus allowing access to relevant and released data. The users don’t necessarily need to know the individual data sources but have the option of submitting an open request within a department specific network. For this purpose, Cesonia consolidates all data in a virtual data room without storing any data centrally.
The great advantage lies particularly within the possibility of searching distributed data and thereby guaranteeing sovereignty and control for the data owner. This offers enormous added value, especially when dealing with sensitive data.