Smart data
Strengthen the quality of decision-making through data-driven approaches and promote the engine of innovation
Identify and extract key information
Demonstrate the values of digital technology services
Data virtualization platform
- Real-time access to data: Real-time access to any sources of data, without the need to copy and move data
- Improved diverse data application capabilities, a central data access layer, data abstraction, and accelerated integration of heterogeneous data sources
- Centralized control of data access permissions: Aggregation of multiple data sources, strengthened security definition of the data access layer, and improved effectiveness of audit data provision
- Strengthened data warehousing analysis platform: Time-to-market data preparation efficiency to accelerate the evaluation of business opportunities for new applications
It features rapid data delivery and matching. Through data virtualization, enterprises no longer need to copy and transcribe complex data across systems to conduct analyses and inquiry across different data sources, allowing enterprises to make more effective decisions in response to market demands more effectively and in real time.
Data governance service middle platform
- Complete middle-platform architecture for critical decision-making
- Data as a service: Accurate analysis to achieve commercial values
- Advisory and introduction to provide the best suggestions and solutions
Data middle platform links multiple data sources to allow for transparent control, efficient integration and storage, and visual presentation while it is combined with advisory services to help enterprises obtain commercial values from data analyses, to improve user experience and core business indicators with the best solution.
Data Lake Management Platform
- Confirmation by the financial industry
- Comprehensive data storage
- Data processing control
- Timely processing across multiple data sources
We provide professional services to assess the frequency of data flow, data structure, and data volume based on the application scenarios; plan and establish a complete data middle-platform architecture, allowing enterprises to obtain data through the data middle platform to make key business decisions in the face of different business contexts and challenges. We have assisted many domestic financial clients to establish a complete data middle-platform architecture to solve the problems of client data quality, non-real-time data access, and inconsistent data from various aspects, ranging from data conversion, storage, virtualization to presentation.
Data Bus
- Monitoring of data flow processing time and status: Monitoring of data flow processing time and status across different data processing platforms to provide more than 10 statuses
- Data processing problem troubleshooting (more than twice as fast): Establishment of a single bloodline view of data flow and visualized data dependence (more than twice as fast) (data processing problem troubleshooting)
- Data flow bloodline inquiry: Visualized data association, improved efficiency of data maintenance and operations, and improved inquiry of data association.
We provide professional services to conduct inventory of metadata, inspect data quality systematically, and provide a data flow scheduling system to monitor the time and status of processing data flow. The scalable architecture can integrate information from external data processing systems effectively and provide a single visual view for data processing problem troubleshooting.
AI as a service
- Significantly reduces the model service cost
- Deploys AI models efficiently
- Keeps abreast of the accuracy of models
Through the template packaging components and model monitoring mechanism and the visualized management interface, we increase the efficiency of establishment and management of a data scientist model, to maintain the accuracy of machine learning models effectively.
Consulting Support
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