Implementation of Data Quality Management Application Architecture

: Data is a precious aspect, especially for an organization. Data must have good and guaranteed quality because data can provide business value as a decision-maker. However, today many companies do not have useful quality data in their management. Large organizations data requirements often cause this can be very diverse. At the departmental and division level, each requires a different business process and IT system, so it directs to create a specific application system with various platforms. This situation causes the amount of data to repeat and become inconsistent. To overcome this problem, the architecture is needed to carry out quality management data that can carry out data transformation paths such as profiling data and data cleansing. In this study, the researchers developed a data quality application architecture by applying the principle of quality management data that includes the process of profiling data, data cleansing, and monitoring data. The results of this study will be compared with similar applications to find out which features can be superior in the data quality management process.