In the pig farming industrial sector, innovation is a crucial factor in maintaining competitiveness. On the research side, there exists a large body of models and decision analysis tools that too often do not reach the end-user. In this chapter, we propose a software-as-a-service based on a cloud-based Decision Support System architecture that should overcome the main adoption barriers spotted in the literature. The service proposed takes advantage of existing herd management models feed with historical farm data and economic parameters recorded by the most popular farm management software used by pig companies. The approach includes a sow farm model and offers a set of analytic tools to help farmers in making better strategic, tactical and operational decisions based on their own data. This chapter highlights the advantages of optimization and simulation models hosted in a cloud computing platform to deliver a service of knowledge discovering and data analytics to sow farms. The success in adoption depends on the added value and usability through software integration with current management tools used by pig producers. Preliminary results show that the proposed service helps pig managers to make better supervision of sows and to obtain the competitive advantages of using complex mathematical models in a practical, flexible and transparent way.