Probabilistic and deterministic data linkage for data goals model in relation to the organization goals

Data is an important asset to assist organization in decision making in order to achieve the organization goals. However, the trustworthiness of organization data in achieving the organization goals is questioned because of the vast amount of organization data. Therefore, it is important to develop a model that links organization data and organization goals. Structuring organization goals for small organization is less complicated compare to the large organization. This is because large organization have large structure, thus it is difficult to identify relevance data in relation to the organization goals. This paper propose data goals model in the context of the organization goals ontology. Ontology is important to improve a common understanding for the organization goals. We suggest data goals model is important to identify the relationship between organization data and organization goals. After that, we generalize organization goals ontology and data goals model to set a standard model so it can be applied in different domains. In this paper, we apply probabilistic analysis and deterministic analysis to analyze organization data in relation to the organization goals. The contribution of this paper may serve as a first step in understanding the evaluation of organization data for the achievement of the organization goals.