Data intelligence enters the "deep water area", and data governance is the key

At present , The world is in a period of historical opportunity for industrial economy to move towards digital economy , Data has become a basic strategic resource and an important driving force for social and economic development , According to the IDC forecast ,2025 The total amount of data generated in China is expected to reach 48.6ZB, Occupy the whole world 27.8%.

In recent days, , The CPPCC National Committee held a meeting “ Promote the sustained and healthy development of digital economy ” Thematic consultations , It was emphasized at the meeting “ Strengthen overall planning and coordination , Innovate the way of supervision , Improve the digital economy governance system , Stimulate the innovation vitality of enterprises on the basis of ensuring the security of national network and data . We should encourage international cooperation in the digital economy , Actively participate in the global digital governance process ”. so , Pay more attention to digital governance at the national level . For enterprises, how to take the lead in the data explosion , Fully grasp the digital dividend ？

1

control “ data ” To grasp the tide

In the era of digital economy , The transformation of digital intelligence of enterprises is to improve their viability 、 Competitiveness , The only way to seek long-term development . But digital transformation is a complex system engineering , It is based on data , Only good data management , Fully mining data value , To be faster 、 Better promote digital transformation .

As the saying goes “ A miss , Great difference ”, Many enterprises that do not have strict data management , There are different problems . For example, some manufacturing factories , The material code is incomplete , There may be “ One thing, many yards ” and “ More than one yard ” The situation of , The physical category and the information system code cannot correspond to each other , Lead to procurement 、 Inventory management and other links are in chaos ; In some national distribution and circulation organizations , There may be many names for internal hierarchical organizations , Such as “ provincial level - Municipal level - county-level ” or “ Primary institutions - Secondary organization - Tertiary institutions - Four level mechanism ” etc. , Different names bring a lot of trouble to data management , So that the system data is missing 、 Data error and so on .

therefore , Data governance is a necessary process for enterprises to realize data-driven . Data governance is a management system , The ultimate goal is to increase the value of data , Help enterprises develop and implement internal data and business applications for the entire enterprise 、 A series of policies and processes for technology management . therefore , Enterprises are in the process of digital intelligence , We should continue to strengthen data governance , Integrate the data quality standardization into the business operation and process of the enterprise , Align with corporate strategy and business objectives , And continue to deepen .

2

Data governance is the foundation of enterprise digital intelligence

Data governance is a system level project related to enterprise development , Senior managers of enterprises should fully realize the importance of data governance , Establish a modern enterprise with data as the core , From strategic planning 、 Cultural construction 、 Organizational management 、 From the perspective of business process , Give the greatest help to data governance , Successfully complete data governance , Improve the quality of enterprise data .

UFIDA aims at different needs of enterprises , A complete system has been established in data governance , The friend BIP The data center can be completely covered from the lowest data control layer , To the data management layer （ It mainly includes enterprise data architecture 、 Data standards management 、 Data quality management 、 Metadata management 、 Master data management, etc ） Building , And then to data visualization 、 Data application, etc , It covers all levels and links of data governance .

UFIDA has rich experience in data governance in many business areas , Take the supply chain business as an example ： Through the master data management function, suppliers can be 、 Material standardization , Unified distribution through integrated bus ; Through the data quality function , It can be found that purchasing 、 transport 、 Data problems in receipt / issue documents , So that users can obtain high-quality original data before data analysis ; Through the data asset function , It can sort out and show all assets in the supply chain field , Meet the external sharing of data services built by users .

It is urgent to do a good job in data base management , On this basis , To gradually realize the visual application of data 、 Data changes the business , Until the data-driven business is realized .

In the process of helping enterprise customers realize data governance , UFIDA always insists on “ Start with the end ”, Through understanding and mastering the core business of the enterprise , Reverse infer the real demands of the enterprise , So as to put data governance into practice .