According to research, productivity is the most significant factor in the growth of gross domestic product and real living standards. This creates the need to understand which economic factors are behind productivity development, especially in Satakunta. In the macro part of the project, the provincial descriptions of Honkatukia's (2021) report are analyzed in more detail about the root causes of productivity in Satakunta and the development is compared with the rest of Finland. Digitization, i.e. the use of digital technology in services and human interaction (Sitra, 2020), is a key driver of productivity and opens interesting development directions for the renewal of industries and the development of regions. In particular, the strategic utilization of data and platform economy tools and operating models creates new conditions for the joint development of innovation and business ecosystems and partnerships between private and public sector actors (TEM, 2022). Based on research data, it can be observed that Europe is lagging behind the United States and China in the data economy (Sitra, 2019), and Finland has not been able to fully utilize the possibilities of digitalization in the development of regions and industry ecosystems either. Finland has also had poor success in acquiring EU funding intended to speed up the digital transition, and the digital development of industries and regions is not particularly coordinated or strategy-oriented. The biggest potential benefits of the platform and data economy are behind the continuous learning process, and they seem to be realized especially for the first-movers. This feature of the platform economy has also received a lot of criticism (cf. the monopoly position of the platform giants Google and Meta), and it increases the need to understand more deeply the basic essence of digitalization and recognize the principles of useful and fair application of platforms and data at the regional level. In this project, the goal is to find out the low level of productivity in Satakunta (cf. Statistics Finland's regional accounting productivity data 2014–2018, Satakunta vs. The whole country) and through data-based solutions to find the most central development targets in terms of productivity enhancement in the marine industry, information models to be built and digital twins through solutions. The information models to be built and the digital twin solutions can also be used in applicable parts elsewhere, such as in the machine and equipment manufacturing industry. It has been found that design and testing done with the help of a digital twin reduces the costs of the prototype phase by up to 30-50% and the lead time of product design by 20-30%. The method is especially useful in the planning and introduction of new product generations and in managing the entire product life cycle.