Four Steps to Data Quality Improvement: Definition, Measurement, Improvement, Application
Transforming data "garbage" into value: Quality management techniques using the PDCA cycle.
Due to the poor quality of data, there is a challenge in advancing its use on-site, and a clear improvement process is necessary. First, based on the purpose of use, we will "define" the standards, and then "measure" the current situation to determine the degree of improvement. After that, we will carry out "improvements" according to the content and apply them to operational data, cycling through the PDCA cycle. By continuing this process, we will finally obtain reliable data that can yield practical benefits for the business. For details on the improvement process that dramatically enhances data reliability, please refer to the materials.
- Company：NTP
- Price：Other
