Statistical Process Management

Hi #SahabatData, this time #Statmin would like to share information about the principles in the Statistical Process Management level within the statistical quality assurance framework. The first principle is that statistical institutions must always ensure the strength of the methodology used. This is done by taking into account international guidelines and standards, as well as best practices for developing and producing statistical information. This step is of course also carried out while continuing to pursue statistical innovations. Furthermore, statistical institutions must be able to ensure that the goals achieved have been used resources effectively and efficiently. That is, it must be able to explain the extent to which the costs and resources used are reasonable and consistent with statistical purposes. Then, statistical agencies uphold all established business process stages. The business process stages have been tested first, and then continue to monitor and evaluate their implementation. Finally, the burden on respondents must be maintained. Individuals, households or companies are the main contributors to data collection which greatly affects the quality of the data. For this reason, maintaining good relations by paying attention to and managing the burden on these respondents will help ensure the quality of the data generated. What are the principles in the Statistical Output Management level? Wait for next week, #SahabatData