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Customer Profile
Construction Vocational and Technical College Service Platform
China's university informationization started in the 1980s. Entering the 21st century, the construction of university digital campuses has developed rapidly, and almost all universities have experienced one or two rounds of digital campus construction. Since Zhejiang Construction Vocational and Technical College launched the first phase of informationization construction, the whole school network coverage has been realized, and the digital campus construction has begun to take shape. But at the same time, the university digital campus construction centered on management informationization has encountered various challenges. With the wide application of big data technology, university informationization is about to meet new challenges.
Facing challenges
Solution
Customer benefits
Strengthen Intelligent Analysis
On the basis of the big data platform construction results, strengthened the construction of the big data intelligent analysis engine, built algorithm models, rule matching, and expert systems in the education field, supported multi-scenario and diversified big data intelligent analysis capabilities, and made the big data platform reach a first-class university education application big data platform.
Data Standard Specification
Implemented data standard specifications, transforming from the traditional top-down manual discovery data governance model to an automatic, intelligent, closed-loop control, everyone-participating model. Data governance revolves around governance rule design, quality evaluation standards, governance task design, governance task scheduling, data element-level responsible person management, closed-loop control system, problem data, quality reports, governance data, etc., building a complete college data governance model.
Online Unified Management
Realized the online unified management and online use of college data standards, used technical means to realize the real landing of data standards, improved the use efficiency of data standards, and realized the full-life-cycle management of standards. At the same time, it provided online standard basis for the automatic verification of data governance, effectively constraining and monitoring the standardization of data flowing between informationized business systems. Standard management mainly includes various functions such as standard construction, standard review, standard import, standard export, and data catalog management.
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