1. Governance Difficulties
The data governance project should not only have a vision of ‘poetry and distance’ for strategic goal planning, but also consider the implementation and implementation results delivery of ‘in front of struggling’.
The data governance project implementation plan is to solve the problems such as ‘how to do it’, ‘by whom to do it’, ‘conditions to do it’ and ‘reasons for success’, which is the key guidance for the success or failure of the project. We all know that the data governance project involves a wide range of businesses, systems and participants, and that data governance is a process that requires continuous iteration and continuous optimization, which cannot be achieved overnight. So where should the data governance project start, who will lead, who will cooperate, and how can we ensure the successful implementation of the project and achieve results?
This question is difficult to answer. We see that most failed projects may have the following characteristics: unclear objectives, unclear scope, insufficient leading personnel, and insufficient enthusiasm of participants, excessive superstition over technology and tools, and excessive reliance on external resources.Therefore, it is far more important to do the right thing than doing things right.It is much cheaper to figure out the winning logic of data strategy in advance than to sum up lessons afterwards. The success of a data governance project must be the organic integration of the above factors. Ignoring any one factor may affect the effectiveness of data governance. Data governance project implementation is a software implementation process that takes the construction results as the final deliverables, which is very different from the traditional software implementation methods.
DATAV has established the ‘Data Research Institute’, which is composed of several data experts in the colleges and universities industry for more than 15+ years. The research institute has continuously accumulated methods and improved technical capabilities, combined with the experience of data governance in more than 30 colleges and universities, and summarized the experience of the implementation methodology and implementation methods of colleges and universities data governance.
2. Implementation Method
The colleges and universities industry data project implementation methodology are summarized as ‘five steps and two lines’ implementation methodology. ‘Five Steps and Two Lines Method’ refers to the five steps in the project construction process and two lines in the project construction content.
The detailed contents of the phased construction scheme are described as follows:
Background Getting in Details: Current Situation Demand Investigation Stage
Standard Setting: Standard Specification Formulation Stage
Platform Building: Data Platform Deployment Phase
Governance: Data Asset Integration Stage
Construction and Application: Data Application Construction Stage
Phase I: Data Status Demand Investigation
Investigate and understand the current situation of school informatization and sort out the current situation of informatization construction of each department / business system. Through the understanding of information construction, we can find out the current situation and detailed background of school data construction. The current situation of data construction is clearly understood after data base investigation.
Stage II: Planning and Formulation of Information Standards
According to the survey results of the basic data, with reference to relevant national standards, teaching standards and brother colleges, and in combination with the actual situation of the school, the preparation specifications of school information standards are formulated. As the basis for master data construction.
Phase III: Data Governance Platform Deployment
The platform environment is installed and deployed according to the project plan, mainly involving the deployment of basic database environment, data integration platform, data governance platform and data application system.
Stage IV: Basic Data Governance Integration
(1) Business System Data Integration Scheme Arrangement
According to the master data set model design, the data integration requirements (field level) are proposed to the business system. After the business system manufacturer’s lack of feedback, a business system data integration scheme is formed, which includes two parts: uplink data and distributed data, as well as the data items required by the data center and the data items required by the business system.
(2) Complete Business System Data Integration
Complete the implementation of data integration interface according to the business system data scheme. In the process of data integration, the relevant data governance functions (code management module, data quality management) in the data center in all fields platform are used to implement data governance such as business system / bid transfer, data quality inspection, etc. Ensure that the data entering the data center in all fields platform is the specification, standard and available data.
(3) Sort Out Existing Data Integration Achievements
Sort out the interfaces of existing data integration and sort out the data flow and application scenarios. According to the sorting results, the existing data integration interfaces are copied and migrated to the data center in all fields platform. Ensure the seamless connection of the data center in all fields platform to existing applications.
Phase V: Data Application Service Construction
In this stage, the data application service construction is mainly carried out according to the data application construction needs of the school, to reflect the effect of data governance construction and provide data application services for school leaders, business departments and teachers and students. Such as data resource monitoring center, personal data center, subject analysis of basic school information, intelligent filling service, intelligent student data service, digital visualization screen, etc.
The process of data application service construction is completed according to the general process of product prototype deployment, function confirmation and modification, trial use by some users, and feedback collection and modification to ensure product delivery quality and user experience.
‘Double line’ refers to the two lines involved in the construction. In the five stages of the project construction, the school business departments, business system manufacturers, information centers and data construction manufacturers participate in the project construction to varying degrees according to different stage work tasks. According to the different construction contents, the ‘double line’ is specifically divided into ‘business line’ and ‘technology line’. The information center participates in the project construction in a dual capacity. The details are as follows:
Business Line: participate in the construction of the project process as a business management, including information center, school business department.
Technology Line: participate in the construction of the project process as a technology implementation, including information center, business system manufacturer and data construction manufacturer.
3. Implement Landing
The goal of data implementation is to implement the data construction methodology through tools and products. According to the current situation of colleges and universities data construction and project implementation experience, our implementation methods are summarized as ‘five landings’. That is to solve the problems in data standards, data integration, data quality, data sharing and data services through project implementation, and form working mechanisms and systems to ensure the benign operation of school level data ecological construction.