"Digital transformation, data first", talk about how important data governance is to enterprises

According to the latest report of China Internet Network Information Center 《 Statistical report on Internet development in China 》 Statistics , end 2021 year 12 month , The scale of Internet users in China has reached 10.32 Billion , The proportion of mobile Internet access is 99.7%, Digital applications and digital services have occupied an absolutely leading position in the society , Become a personal second space , It has also become the Red Sea market that enterprises want to compete for .

Digitalization and the rapid growth of data , Let enterprises choose digital transformation at the same time , Significance to gain a firm foothold in the future digital market . But the threshold of digital transformation is very high , For the core element data , Most enterprises cannot guarantee data quality , Forcing digital transformation will only lead to failure , Data governance must be put in the first place , Improve data quality , Enterprises have the hope of successful digital transformation .

The goal of data governance

For businesses , Be able to quantify business activities , And show it in the form of data , It is an important symbol of modern enterprises in the digital era . Why data is so important for modern enterprises , The key is , These data are generated by business activities , It contains rich business information , It reveals the overall operation of the enterprise , It plays a strong auxiliary role in enterprise development decision-making .

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Data governance is actually to continuously improve the quality of business data , Enhance the credibility of data , The process of reducing errors and omissions . For managers , Data is the most important and even the only channel for them to understand the enterprise , therefore , Data governance is not a simple optimization and efficiency improvement , But the key to enterprise development .

Take enterprise development as the benchmark , We can preliminarily determine the goal of establishing data governance ：

• integrity ： Standardize business process , Improve the database data model ;
• accuracy ： Add data quality assessment standards , Establish a reward and punishment system ;
• timeliness ： Optimize data storage and retrieval time , Improve the efficiency of data access analysis ;
• Uniformity ： Determine the data index system , Ensure that the data corresponds to the business ;
• Uniqueness ： Add data query index , Avoid duplication of database data .

Recommendations for data governance

1、 Build a strong data governance team

Data governance is a system level project for enterprises , In the implementation process, all departments and all employees of the enterprise will be involved , You need to have sufficient permissions 、 High level attention 、 Experienced technology and strong execution . Senior managers of enterprises should set up a team with sufficient knowledge of data governance , Have enough working experience in the enterprise , Data governance team with sufficient management experience , And continue to pay attention behind the scenes , Give sufficient authority , Ensure the cooperation of employees in all departments , Jointly promote and complete data governance actions .

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2、 Foster a data-driven culture

As mentioned above, data governance requires the cooperation of all employees , Jointly implement the completed system level project , Such a huge operation is not just a team 、 Or it can be accomplished by means of coercion . Want to successfully implement data governance , The best way is to build a data - driven culture , Create data and cultivate 、 A good corporate climate for data governance , Through training 、 Let employees understand data and business in the form of lectures 、 technology 、 Management and so on are mutually reinforcing , common development , Be able to improve their work quality and work efficiency .

3、 Carry out enterprise information construction

A lot of times , In the process of implementing data governance , said of an aged person , It is very difficult to move forward step by step , This is not necessarily because the team and cultural construction are not in place , There may also be no useful tool to assist . There is an old saying that makes sense “ A good workman does his work well , You must sharpen your tools first ”, In the process of data governance , have access to ERP、OA And other business systems to realize online business 、 platform 、 Remoting and standardization , Automatically precipitate business data , Then through business intelligence BI, utilize ETL Data processing and data warehousing store high-quality data , Improve the effect of data governance , Complete the value transformation of high-quality data .

The challenge of data governance

1、 Data security risks

Data governance doesn't mean improving data quality , It also represents the establishment of data specifications , In the daily operation and management of enterprises , Every employee in every department communicates with each other on a daily basis 、 There are data security risks in business communication and data transmission . Once there is a problem with the data , It is copied by people inside and outside the enterprise , Spread to the Internet or other enterprises , It is likely to lead to the disclosure of enterprise confidential data , Affect market development .

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2、 Risk of unclear authority

Data governance is a system level project , The data governance team should have high authority , But permissions can also be problematic , For example, the top management of the enterprise has given the data governance team the highest authority on relevant businesses that will affect the data , But when dealing with practical problems , The area with the highest permission has the space for operation , And give all-round authority in the enterprise , It is easy to lead to excessive authority , Affect the business development of other departments , Interfere with the development of key links such as R & D and production .

The focus of data governance

Although many enterprises have doubts about the effect of data governance projects , But it is also acknowledged that in the current informatization 、 In the digital society , Data runs through the business process of the enterprise 、 Organization building 、 R & D and production 、 Technology application, operation and management , It can promote business development 、 Provide data visualization information 、 Assist in decision-making and other key functions , But once there's a problem , It may also cause turbulence in the development of enterprises due to a wrong or missing data .

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in any case , Data has become a key element in the business world , Enterprises want to develop healthily , Compete in the market , Access to the digital economy , We must pay attention to data , Put data governance on the agenda . Only in this way can enterprises play the role of data , Realize data value , Healthy and sustainable development .