Autonomous Open Data Prediction Framework

The article looks at Open Data and explains the nature of data and how Open Data can be used. As well, highlights other types of data. On the other hand, in the literature identified the answer to Open Data processing capabilities through automation. The proposal of the autonomous Open Data prediction framework is illustrated and explained in detail at each step in the framework processes. The framework will be able to work with Open Data automated to improve business processes that allow integration between framework and ERP systems, where no-technical employees will be able to participate in decision-making, using their specialization knowledge, adding value to improving business processes. In the framework, the Autonomous Best Model Selection is highlighted as one of the most essential steps in framework development to select and specify the right approaches and models accurately. However, process Near Real-time Prediction allows business intelligence to declare rules and configure the limits to support decisions that will be processed later in the future. The conclusions outline the main results that allow moving towards framework development.