Wikipedia: data management to ensure the data accurate, appropriate sharing and protection is of vital importance, effective data management plan will by improving decisions, reduce costs, reduce risk and improve safety compliance, such as the value to the business, and ultimately to increase the revenue and profit,
The author thinks that: all in order to improve the data quality and expand the business, technology and management activities are belong to the category of data management, data management is the purpose of through effective control means of data resources, data control, in order to improve data quality and data to liquidate ability,
1, data quality levels not neat
In modern times, the concept of "data asset-like" has been accepted by most people to understand and, whether enterprise, government, or other organizations for the management of data assets has become more and more attention, however, the data is not equal to assets, assets, that is not all data is data in the data also have garbage data, we need governance is the ability to create value for enterprise data assets, but not all,
2, data exchange and sharing difficulty
Informatization of enterprise information construction in the early lack of overall planning, system construction are mostly business driven system or suite monomer architecture, scattered data in these architectures are not unified, development language, database system, diversified and even large amounts of data stored in the employee's personal computers, resulting in the enterprise internal form a "information island", the "island" lack of effective connection between channels, data cannot be connectivity, not according to the user instructions for meaningful communication, cannot give full play to the value of data, only China unicom data, eliminating the "information island", to achieve data driven business, data driven management, can we truly release data value,
3, lack of effective management mechanism
At present, many enterprises have realized the importance of data, and try to control the flow of data for traffic flow through the production system, but due to lack of effective management mechanism and some man-made factors, in the process of data conversion, data maintenance errors, repeated data, inconsistent data, the data is incomplete, led to the waste generated a lot of data, data property right is not clear, management responsibilities chaos, management and use of the process is not clear, is the most important factor in the data quality problem,
4, there are data security hidden danger
In March 2018 of the 50 million Facebook users and abuse of the event information leaked, affected by the event, Facebook shares tumbled 7%, wiping out more than $360, while the data analysis of Cambridge may stop operation, the company is also in the same year and filed for bankruptcy, the data security incident, more frequent in our country, I still clearly remember: in 2011, hackers posted CSDN user database, up to more than 600 clear exposure registered E-mail account and password and confidential; In 2016, the staff should steal motion was taken to court a lot of customer information; In 2017, jingdong stealing 5 billion users' personal information, and through a variety of ways in the black market selling network, in recent years, with the development of large data, such as data security event plenty, data on asset management, is from the traditional human management of distributed to develop in the direction of the computer centralized management, data security problem more and more attention,
Data governance is a long-term and complex project, involving organization system, standard system, process system, technical system and evaluation system of the five aspects of work area, contains data standard, data quality and master data, metadata, data security, and other aspects, due to the nature of enterprise, business characteristics, management mode, it is necessary to set up enterprise present situation and the demand of data governance framework, guide the work of enterprise data management,
