Provide intelligent data mgmt. system, launch the PaaS platform, help enterprises to achieve data aggregation, development, analysis, services and visualization, and propel data monetization
1、Difficulty in Data Accumulation
The multi-sourced data cannot be transformed to data assets of the enterprise and have not been effectively utilized.
2、Unstable Data Qualities
Inconsistent data standards, unstable data qualities, data application value has not been made use of
3、Inefficient Manual Operation
The manual operation is inefficient and time-consuming for large quantities of tedious and repetitive work
4、Low Operational Efficiency
Insufficient capabilities of service, mgmt., emergency handling, resource sharing in the parks when dealing with high numbers of mgmt. matters; low operation efficiency
