Data quality: the core of data governance

What is data governance , I believe anyone who has done data governance knows DAMA The International Data Management Association defines data governance .DAMA It is believed that data governance is a collection of activities that exercise power and control over the management activities of data assets （ planning 、 Monitoring and execution ）. Among them, data governance is high-level 、 Planned data management   Institutional activities , Its key management activities include developing data strategies 、 Improve the data policy 、 Establish data architecture , Data focused users 、 Usage mode 、 Compliance system such as use authority   set , Emphasize the basic work before the full life cycle management of data assets , Focus on data assets   Relevant safeguard measures in management .DAMA  stay  DBMOK2.0  The domain of knowledge extends it to  11  It's a management function , Data architecture 、 Data model and Design 、 Data storage and operation 、 Data security 、 Data integration and interoperability 、 Documents and content 、 Reference data and master data 、 Data warehouse and business intelligence 、 Metadata 、 Data quality, etc . In real work , For enterprises, data governance is actually data quality , Many enterprises only engage in data management , In the final analysis, it is also to solve the problem of data quality , If the enterprise data is not reliable , The statement based on data 、 Indicators are not credible for business , It will also affect the business to make some analysis decisions based on data . So the core of enterprise data governance is data quality .

Lack of data quality will lead to dirty data 、 data redundancy 、 Data islands and other problems . Data after data governance , Ideal situation , It is a set of standardized improvement planning and process , Cover the whole life cycle , Yes, the data can be managed 、 You can use 、 Can now wait , Assist enterprise business decision .