After data management, the quality is still poor

There is a saying in the data governance industry , Everyone is saying that they are doing data governance , But everyone doesn't know what to do or what others are doing , So everyone claims to be doing data governance . This awkward remark is a self roast of the data manager , People who have really done data governance should know , There is no nested methodology for data governance , Every business 、 Every project may have its own data governance system . If the data governance method is applied , It is often impossible to achieve any governance effect , however , For some places , Even after data management , The data quality is still poor , What should I do ？

This , Enterprises are also a problem that every enterprise will face , What data is not available , There is an island of data , Data can not serve and business, etc. are common problems in data applications . We should know what the purpose of data governance is ？ First , Data governance is not a technical issue , The local of data governance is business governance , Specification and process control . For example, the data collection is often unclear , The definition of data index processing is not clear and so on . The second is the technical problem , For example, incomplete data extraction , Storage problems , The development process script is not clear , Imperfect , The maintenance of technical caliber is not clear enough, and so on . secondly , Will the quality be improved after data management ？ The problem is very complicated , Every enterprise has its own problems . Some enterprises think that data governance is a powerful data governance platform , As long as the platform is powerful , Can manage the data , This is precisely another misunderstanding —— Instrumentalism , Don't you know that the essence of data governance is to manage data , Instead of managing procedures 、 Scripts and tasks . in addition , Many other enterprises have data problems , And only after it has a great impact on the business —— Passive governance , Lost the initiative to manage data , It often solves one problem and leads to more problems .