The mapping process of unstructured data to structured data

Emergence of heterogeneous format of unstructured data is vital for an organization to consider as a basis to support organization function. Thus, there is an urgency of a suitable management process of unstructured data through collecting, manage, transfer and transform these data to a meaningful and informed data. Effective and efficient mapping processes of unstructured data to structured data could help organization to understand the significance of exploited and transformed data in supporting decision making process. Currently there is no study done on mapping unstructured data to structured data that can full fill the organization needs. This paper will explained four (4) main processes which are extraction, classification, repositories development and mapping of data with intention to help in generating new data and information which are more structured, comprehensive, collective and varied in topics to serve organizational needs. Output from this study is to ensure the mapping process of unstructured data to structured data will denote unstructured data as renewable assets that is useful, well informed and meaningful to serve organizational functions.