Protect the validity of data, prevent data leakage, damage, inconsistency, illegal import and export, cross-border transmission and other risks. Prevent and timely deal with the destruction of data by malicious events such as cyber attacks.
Analyze the performance of business systems from data model, business model, user interaction, architecture design and etc., to ensure the business window can provide the most efficient and agile response.
Centralized management of mixed heterogeneous data to realize data exchange and sharing between systems, to interconnect isolated information islands. Utilizing the vast amount of data that has been and continues to grow, analyze its own business status, user behavior and supply chain conditions, give data-based decision-making advice, and help develop a better business strategy.
Build a high availability, disaster-tolerant environment, ensure fast switching of services in emergency (such as power outages, fires), adopt data continuous protection technology, and avoid logical errors leading to the production environment.
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