Top 5 Data Governance Benefits for Today and the Long Term

With the continuous maturity of big data-related technologies, data as an asset has received more and more attention from enterprises and institutions. In order to effectively utilize data assets, data governance has become a key concern of the current government and enterprises. So what are the benefits of enterprise data governance today? If you are looking for the answer to this question, then you’ve come to the right place. In this post, we’ll introduce the data governance benefits for today and the long term.

Data Governance Benefits

Before diving into our article, let’s figure out what is data governance. 

Data governance is a set of management behaviors related to the use of data in an organization. It is initiated and implemented by the enterprise data governance department. It is about how to formulate and implement a series of policies and procedures for the business application and technical management of data in the entire enterprise.

In short, data governance is a system that allocates decision rights and responsibilities through a series of information-related processes that are implemented according to a consensus model that describes who can take what actions based on what information, how and when, and in what circumstances. The ultimate goal of data governance is to enhance the value of data. Data governance is very necessary and is the foundation for enterprises to realize digital strategy. It is a management system, including organization, system, process and tool.

Top 5 Data Governance Benefits for Today and the Long Term

1. Define, inventory and control the data in use

Through the inventory and definition of data, and setting the corresponding verification control, it is helpful to set appropriate data access rights. For example: built-in functions in the system to shield and/or protect personal or sensitive information; how to control and prompt the system when wrong data content is entered in the system; easy to integrate applications with other homogeneous or heterogeneous data, and new technology integration application.

At the same time, problems in the area of ​​data quality can be identified. When we find that different users use the same data set to analyze different results, it helps to identify personnel training problems and areas that need to improve data quality.

2. Manage who and apps access data

Data governance will require multi-level management of user permissions and data access. For example, your VP of sales might decide that all salespeople should use the same data analysis application, but only be allowed to view their own sales and opportunities. The key is to make it easy for IT system administrators to adjust these permissions and access methods based on business management requirements and needs.

3. Develop a data management strategy

Through the governance of enterprise data, the consistency and accuracy of enterprise data can be improved, so as to provide the quality of enterprise data, and for enterprises, business decisions will be more confident.

4. Increase productivity

After data governance, when two data transmissions conflict, enterprise employees no longer need to spend time searching for the correct information.

5. Save money

Simply put, data management increases efficiency. Duplicate accounts lead to duplicate work, or at least wasted time tracking down duplicate accounts in marketing, sales, finance, or analytical work. Data governance can reduce errors in your database, provide your business with a reliable database, and save valuable time that would otherwise be spent correcting existing data. Saving time saves money.

Conclusion

Thank you for reading our article and we hope it can help you to have a better understanding of the top 5 data governance benefits for today and the long term. If you want to learn more about data governance, we would like to advise you to visit Gudu SQLFlow for more information.

As one of the best data lineage tools available on the market today, Gudu SQLFlow can not only analyze SQL script files, obtain data lineage, and perform visual display, but also allow users to provide data lineage in CSV format and perform visual display. (Published by Ryan on Sep 8, 2022)