When the value of data began to be continuously excavated, the status of enterprise data assets is more and more high, data governance has also become a project that enterprises urgently need to build. This passive behavior will naturally lead to many problems, so that many enterprises into the misunderstanding, resulting in the delay in the establishment of data governance, it is difficult to have high-quality data, so what are the misunderstandings that enterprises will encounter?

     lack of support from senior management

Data governance is a system-level project for the entire enterprise, not a department can complete the task alone, the need for senior management's leading participation. Therefore, no matter who is responsible for the data governance team, or which department is the leader of the development, it is necessary for senior management to continue to pay attention to, and give enough attention to support.

In addition, only the top management of the enterprise has carried out a coordinated planning, data governance team can be implemented to ensure that data governance has been given enough attention, have enough authority to guide other departments, business lines to participate in data governance, so as to improve the quality of data.

     Do not pay attention to the construction of data culture

Why is data governance always known as dirty work, one of the important reasons is that data governance requires the participation of all employees of the enterprise, and jointly promote the landing of data governance in the enterprise. We have already mentioned the issue of authority, if the data governance team has sufficient authority, then what also needs to be done is to regularly organize knowledge seminars for enterprise employees, as well as new and old employees to carry out relevant training, to establish a complete set of training system involving different departments and levels of employees.

The establishment of this system is in fact to establish the enterprise's data culture, if only mandatory for employees to comply with the new rules of data governance, not only to have a system of rewards and penalties, but also to let employees from the level of thinking to accept the data culture, understand that data-driven for their own work is also beneficial. By turning reactive into proactive, data governance can be implemented faster, healthier and with far fewer obstacles. And because of the training received, employees will be more familiar with utilizing data technologies and applications, which can increase the progress of enterprise data governance and promote business growth.

     Governance from technology only

Data governance project is a very complex, involved in a very comprehensive project, many enterprises only from the technology, let the IT department alone, then the success rate of data governance can be imagined. In fact, data governance needs to build a lot of things, such as we mentioned the responsibility of data rights, related lectures and training, strategic planning, data governance documents, etc., which not only need technology, but also need to join the business staff of various departments and management system.

To give a simple example, on the one hand, the data governance team should actively communicate and collaborate across multiple departments for the popularization and construction of data culture, so that employees understand that data governance for business efficiency is improved, and can enhance the effectiveness of the work, and through the perfect KPI assessment indicators to manage the system, and from the organizational structure of the data governance to improve.

On the other hand, data governance also needs to be built through a variety of software, tools to data governance, so that data governance can be long-term persistence, and this can not only rely on the system, but also need to be introduced from the outside of the business information systems such as ERP, OA, CRM, Business Intelligence BI, cloud computing and so on. Through the appropriate tools as well as process reengineering to make data governance can be long-term persistence, healthy development.

     The significance of data governance

With the development of digitalization in all aspects of society and the rapid growth of the digital economy, data has become an important strategic resource in the current era. That's why we can always see the enterprise's data strategy in all kinds of discussions about the development of enterprises, and see how high the growth rate of the data-related market has been, and what areas it has been expanded to, and so on.

In addition data governance will not only improve the quality of data, but also make it standardized, standardized, and build data security well through the system of authority and responsibility, etc. The importance of data has reached a new height, we know in the previous survey report that the cost of enterprise data leakage is increasing, and these data leakage incidents may cause the leakage of user information, so that the user adds to the distrust of the enterprise, but also lead to the leakage of commercial secrets, and even the impact on the whole society.

Therefore, data governance is not only a project that enterprises need to build and implement in order to seek development, but also a basic requirement of users, market and society for enterprises, as long as high-quality data can complete the circulation inside and outside the enterprise, and create value through the data for the development of the enterprise, then the value of data governance is immeasurable. We hope that in the future, there will be more suitable technology, tools or systems that can make enterprise data governance more perfect, so that the data is more suitable for the development of enterprises and play a key role.