Analysis of Data Quality Maturity in a Higher Education Institution

The organizations use data as an important asset. Data became the important assets in some organizations may give effect due to the cost. Data quality standards for non-profit-oriented education organizations have not specifically defined. This study aims to provide guidance for non-profit organizations in order to produce quality data. The focus of analysis is a data modeling, determination of dimensions of quality and maturity level of data quality in organizations. The first step needs to be done is to create a data quality model based on entity relationship data and to fix dimensions of data quality to be used. Dimensions are used to follow the intrinsic, contextual, representative, accessibility data quality. Determination of the level of maturity of the initial and final of data quality analysis process used to make recommendations next stage. The results showed that stages of defining quality varied by the user complicate the process of preparing the data model quality. Maturity of data quality management were mostly at the defined data management (level 2) and the process move to level 3. Maturity data quality management requires analysis related to data and process. Evolving business process organization should be aligned with the data quality standards have been set.