Education Industry - Data Middle Platform | Digital Transformation

Education Industry

The education industry faces issues such as decentralized data construction and inconsistent levels of data structurization. There is a desire to leverage big data products and tools for data governance, precipitation, and identification of enterprise data assets, further mining data value, and comprehensively supporting enterprises in their transition towards intelligent education. Relying on its own data mid-platform product capabilities and years of experience in building enterprise data mid-platforms, Kejie Technology assists leading clients in the education industry in implementing data mid-platforms, providing the foundation for the transformation towards smart education.

Solution Overview

Kejie Technology's Data Mid-Platform Solution for the Education Industry comprises the following: ● Data Aggregation and Integration: Utilizing the Big Data Development and Management Platform (Keen BDP) to aggregate and integrate decentralized data. It supports large-scale team collaboration on projects and enables real-time data acquisition and synchronization through the real-time platform. ● Data Governance and Modeling: Analyzing, organizing, and standardizing educational data through data governance. Additionally, the Data Science Platform can be utilized to further mine and model instructional data, constructing intelligent models tailored to educational scenarios. ● Rapid Business Support and Intelligent Education: The comprehensive asset data can quickly support front-end business applications through the service engine, enabling refined instructional management. This further facilitates the realization of intelligent and smart education.

Solution Architecture

Customer Benefits

Using Keen BDP to rapidly build big data infrastructure capabilities, the query platform enables personnel from various departments/institutions within the group who need to regularly extract large amounts of data for analysis to securely and conveniently query and extract data. Data extraction has shifted from being IT-scheduled (T+N) to being self-extracted at any time.
With Keen Studio, we swiftly establish data asset management capabilities, integrating learner behavior data from various apps and websites. Through asset-based services, it aids in decision-making and refined operations.
We build data service capabilities by integrating infrastructure and data asset management, providing data mid-platform empowerment to subsidiaries and business units within the group. This transition from repeatedly pulling data from the database level for analysis to a unified service provided by the data mid-platform has reduced data analysis costs to one-third of their original amount while ensuring data consistency.