Cdga | six principles that data governance has to adhere to

Like anything else , Data governance still needs principles . Before implementation , Any organization should identify the basic principles that support its approach to data governance .

Data governance to ensure success , We must follow the following six principles ： 1. Data governance should be business led Data in an organization is created by business people , Managed by business personnel , Bad data mainly affects business personnel . Data support business decisions . If these decisions go wrong , The impact will be on enterprises , instead of IT. therefore , The business should lead data governance , although IT You should be involved , But they should not be dominant . 2. Data governance is a partnership “ Business and IT Share ownership and responsibility for protecting and enhancing organizational data .” From the above point of view , Enterprises cannot fight alone . Business departments should collect and analyze data , Absolutely IT Department involvement . Besides , Most data processing runs on IT On the technical system owned by . And if data governance is looking for appropriate tools and methods , Then you will also need to buy tools . therefore , Data governance projects should be business and IT Close collaboration and cooperation between . 3. Data governance pays more attention to people and processes , instead of IT Applications A common solution to data governance as a first step is to implement “ Data governance tools ”. However , The most important element of data governance involves policy 、 People and processes . These are impossible for applications to implement automatically . 4. Data governance must be consistent with the organization's culture “ Due to cultural barriers and lack of high-level support , Only less than 10% Your organization can succeed in its first attempt at data governance .” Because data governance is mainly about people and processes , Therefore, a key consideration is the organizational culture . The data governance framework must be appropriate for the organization , Because every organization is different , Each data governance implementation should also have different methods and paths . 5. Data governance must be integrated into the organization Data governance should not be just a departmental responsibility , It should be everyone's role in the organization , Because everyone creates 、 Contact 、 Manage or use data . 6. Data governance requires authority Data governance requires organizations to consider how to use and manipulate data , And may change the way of both . Such a huge change needs the support of the whole organization . It means , Data governance implementation requires more than convincing enthusiastic people , We also need to convince skeptics 、 pussyfooter 、 Clumsy and stubborn . If there is a mechanism supported by senior executives , It will help a lot .  Data governance is a great thing . It should stimulate the transformation of information in any organization , Lead to better decisions 、 Less work 、 Higher profits and efficiency , And easier access to data for all .