Marlin’s DataMarketplace is applicable to a wide variety of use cases on different industries, such as the following ecosystems
Liquid bulk supply chain
The international petrochemical supply chains from a huge ecosystem from production, storage, shipping and land logistics to the end customer. The is a complex and often fragmented environment with multiple stakeholders along the supply chain. Therefore, it is for many players a black box that where selective data exchange could help to resolve the inefficiencies. This could have a significant impact on sustainability, costs and profitability.
For this use case we have made the following animation:
The healthcare industry is another complex and fragmented ecosystem in which data sharing faces challenges because of privacy issue, limited system integration, or lack end-to-end interest. Trends include increased acceptance of wearable healthcare devices, cloudification, and the introduction of AI into healthcare are all coming into play at this early stage of the revolution. There are major opportunities and benefits to be gained from secure data sharing, to improve healthcare, and to create value with existing and new technologies.
Climate change, resource scarcity, and digitalization are all major concerns that the building sector is grappling with. Traditional methods of construction management appear to be inadequate for dealing with these problems. To change to a more resilient society, more systemic solutions in construction are needed that go beyond particular projects or sectors.
Energy & Utilities
Data will become increasingly important as energy networks become more decentralized, with a greater emphasis on renewable energy sources. More actors are involved in the new energy landscape, which is decentralized and dependent on intermittent, renewable resources, making data platforms critical to the network's smooth operation. In any case, the societal and environmental difficulties we will confront in the next decades will necessitate E&U enterprises exchanging the value of the data equities connected with their operations and services in meaningful ways.
Both inside and outside the government, data is becoming increasingly crucial. Government agencies are creating innovative techniques to successfully harness the value of their data, including the best way to share that data with citizens, among others. The trend toward fluid, dynamic data is transforming the way government and its partners in academia, nonprofits, and the commercial sector utilize and exchange data globally.
Existing financial institutions are merging or interacting closely with one another. Customers, on the other hand, demand a positive customer experience and completely integrated services. As a result, advancements such as autonomous finance, platform integration, and sustainability are becoming more critical. Banks, insurers, and pension funds face a major challenge in this dynamic and complicated marketplace: remaining distinctive and competitive while meeting end users' ever-changing expectations.