Data governance is easier said than done

As the concept of data assets is accepted by most people , Data governance has always been mentioned , Only effective data that has been governed can be called data assets , Only valuable data can be called data assets . So now it's not just the traditional data warehouse 、BI、 Master data management 、 Metadata management 、 Software providers of data services such as data integration are talking about data governance , Big Internet companies , Central enterprises 、 State owned enterprises are also talking about data governance . But I have heard a famous saying about data governance ： Everyone thinks that others are doing data governance , So I also claimed that I was doing . It also shows that , Data governance , It's easy to say , But it's hard to do .

First of all, we should clarify why we do data governance ？ Because data standards should be established within the enterprise , Improve data quality , Realize the unified management of data assets . Why build data standards ？ Because there are many data quality problems , Unable to provide accurate data report , Affect business efficiency , Unable to support the digital transformation of enterprises . The existence of data standards will break the data island , Increase the value of data , Improve data quality , And then invigorate the data assets of the enterprise .

These questions are what you do or hear everyday , We all know the importance of data governance , But how to do it , Nothing more than counting data assets , Establish data standards , Breaking the data silos , Increase the value of data , Serve the business , Mining data scenarios , Develop a vision for a data-driven business , Lay the data foundation for digital transformation . But these are superficial , The problems around the data are all in situ , The problem of data governance has not been thoroughly solved , It may lead to a clear statement , It is difficult to do . The first step in data governance is not to analyze data problems , It's about analyzing business issues , Find the core business demands of the enterprise , Define the goals and scope of data governance .