Data has become an enterprise's core asset and important strategic resource, as well as an important production factor. In the data-driven digital age, companies can only extract greater business value from their core business data, optimize product management, expand new market channels, and create core competitiveness. Data governance is mining Important means and tools of these values.
Enterprise data governance refers to the governance of the data assets owned by the enterprise. For enterprises, the key aspects of data governance mainly include: the overall strategy and direction of enterprise-side data governance, clarifying the scope and distribution of enterprise data, breaking data barriers, realizing data intercommunication and sharing, and realizing closed-loop control of data quality. The main work.
Among them, the formulation of a company’s data strategy is the primary task of the digital transformation work, the vision, purpose, goals and principles of the organization of data work, the purpose and guidance for the organization of various data-related work, and it also leads the company’s data The direction of governance. Take the banking industry as an example. Now the global banking industry has fully entered the digital age. Leading banks have implemented digital innovation strategies. In the past five years, they have revolved around digitalization, big data, financial technology, agile banking, open banking and In the six areas of the ecosystem, domestic and foreign banks have embarked on a journey of exploration.
The next step is to build three lines of defense for data governance to achieve closed-loop data management and control. The "Three Lines of Defense for Data Governance" is the organizational structure of data management and a concrete manifestation of comprehensive and systematic data management. The three lines of defense are: business management line, data governance management line, and audit supervision line. The three lines of defense integrate the front, middle, and back-office departments and personnel of the enterprise, and only have their own responsibilities to strengthen the "three lines of defense." Only by establishing an effective and comprehensive data governance system, can we build an effective and comprehensive data governance system, effectively improve the level of data management, and fully release the value of data.
With the rapid increase in the amount and form of data in hospitals, medical data needs longer and longer retention periods. Once the security of the storage system has problems, resulting in the loss of medical data, the hospital will face a serious adverse situation. The application of medical big data must ensure the comprehensiveness, accuracy, real-time and convenience of the data, fast calculation and rapid presentation, and close integration with the daily work platform.
The overall goals of data governance in the Smartbi medical industry:
1. Decision support
(1) Collect business data and build a data warehouse
(2) Mining data, constructing analysis topics, and providing support for management decision-making
2. Data display
(1) Adopt various visual display methods such as reports, charts, management cockpit, etc. to provide intuitive, beautiful and interactive UI interface
(2) Support mobile data display such as APP and WeChat
3. Data Service
(1) Unified management and control of the data of each business system to ensure data quality
(2) Provide data sharing mechanism to realize data reporting and push
4. Access control
(1) Realize effective management of user rights
(2) Meet the data authority control of hospital-level leaders and department leaders
Smartbi medical industry's data governance program implementation
The overall architecture diagram developed is as follows:
Then make a data flow for the hospital and the subject to be analyzed. For the specific flow, please see the figure below:
Figure: Data flow chart of data governance in Smartbi medical industry
Figure: Thematic analysis of data governance in the Smartbi medical industry
Smartbi's data governance solution for the medical industry will make management smart, service refined, and operation automated. It allows hospital leaders to make decisions based on data analysis and scientific management. Hospitals can also rationally allocate resources based on patients' medical conditions to provide patients with better medical services.
The digital economy is changing all aspects of our lives and work, and data is the core of the digital economy. For companies, data is an important asset for companies. In the future, only companies that have a large amount of data and use it effectively can gain an advantage in the competition...