Data Quality Management Maturity: Case Study National Narcotics Board

Abstract

Data quality determines the organization's decision-making, strategic planning, and organizational resources components in achieving organizational goals. Data quality must be a concern in government organizations. Research Data and Information Center (RDIC) National Narcotics Board (NNB) is a work unit whose main tasks and functions are data and information services. As the main problem, several work units do not yet understand the importance of data quality, which carries out their data collection in their own format, as it is known that drug data is unique data. Hence, it is necessary to measure the maturity of Data Quality Management (DQM). This research is qualitative research conducted by assessing the working group team in data and information using Loshin's data quality framework to measure the data quality RDIC NNB. The results showed that the maturity level is repeatable (level 2). Many improvements need to increase the maturity level of data quality. The characterizations that have not yet been implemented are mapping on data quality DMBOK2 activities. RDIC needs to formulate data governance policies, data standards, data steward, and data quality monitoring systems to improve data quality.