Strategy for the data monetization in tune with the data stream processing

In this invited talk, a strategy for the data monetization in tune with the data stream processing is shown. The current organizations have as challenge not only the processing of the big data repositories, but also the data monitoring in real-time for guiding their commercial strategies. When an organization is closer of their customers, it has better knowledge of them and better results will obtain related to their action lines. In this sense, the real time data monitoring is a key asset in the now economy and to know how capitalize them could represent a competitive advantage for any company. In this proposal, the Measurement and Evaluation (M&E) projects oriented to data monetization are organized in terms of the C-INCAMI (Context - Information Need, Concept Model, Attribute, Metric and Indicator) framework for fostering the repeatability, comparability, consistency and extensibility of the measurement process. Therefore, a brief introduction to the M&E framework is done and the Processing Architecture based on Measurement Metadata (PAbMM) is introduced. The PAbMM allows incorporating a detective and predictive behavior based on the data and metadata coming in real time. The interchanging of data between the data sources and PAbMM is supported by the CINCAMI/MIS (Measurement Interchange Schema) which allows keeps the data traceability and collecting a set of complementary data (e.g. geographic data) associated with the entity under analysis and its context. In this sense, the CINCAMI/MIS 2 is summarized and the associated data monetization strategy is detailed. Finally, an application case for exposing the potential associated with the monetization strategy related to PAbMM is shown.