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Friday, October 9, 2020

What is Data Governance

 I am so glad you stopped by to learn a little about what data governance is.  As always if you have any input on the topic or would just like to leave a comment you are welcome to in the section below.   Now with the help of Google and some great sites we are sure to find that best answer.   

Credited to Wikipedia ~ Data governance is a term used on both a macro and a micro level. The former is a political concept and forms part of international relations and Internet governance; the latter is a data management concept and forms part of corporate data governance. Thanks Wikipedia the following is as seen on site. 

On the macro level data governance refers to the governing of cross-border data flows by countries, and hence is more precisely called international data governance. This new field consists of "norms, principles and rules governing various types of data." Here the focus is on an individual company. Also check out gartner mdm magic quadrant as a good resource.  


Here data governance is a data management concept concerning the capability that enables an organization to ensure that high data quality exists throughout the complete lifecycle of the data, and data controls are implemented that support business objectives. The key focus areas of data governance include availability, usability, consistency, data integrity and data security and includes establishing processes to ensure effective data management throughout the enterprise such as accountability for the adverse effects of poor data quality and ensuring that the data which an enterprise has can be used by the entire organization.


A data steward is a role that ensures that data governance processes are followed and that guidelines enforced, as well as recommending improvements to data governance processes.


Data governance encompasses the people, processes, and information technology required to create a consistent and proper handling of an organization's data across the business enterprise. It provides all data management practices with the necessary foundation, strategy, and structure needed to ensure that data is managed as an asset and transformed into meaningful information.[3] Goals may be defined at all levels of the enterprise and doing so may aid in acceptance of processes by those who will use them. Some goals include


Increasing consistency and confidence in decision making

Decreasing the risk of regulatory fines

Improving data security, also defining and verifying the requirements for data distribution policies[4]

Maximizing the income generation potential of data

Designating accountability for information quality

Enable better planning by supervisory staff

Minimizing or eliminating re-work

Optimize staff effectiveness

Establish process performance baselines to enable improvement efforts

Acknowledge and hold all gain

These goals are realized by the implementation of Data governance programs, or initiatives using Change Management techniques.


When companies desire, or are required, to gain control of their data, they empower their people, set up processes and get help from technology to do it.


According to one vendor, data governance is a quality control discipline for assessing, managing, using, improving, monitoring, maintaining, and protecting organizational information. It is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.


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