Financial middle-end solution for unstructured data

In the process of digital transformation driven by fintech science and technology, the financial industry needs to be competent for fast iterative upgrading of Internet companies for driving business development based on data, so it needs to construct one-stop technical capacities, unified data management capacities and capacities for fast configuration and business development. The data and technical convergence brought by digital transformation has accelerated the demands for data middle-end construction. The SandStone solution for unstructured data middle-end can help financial customers integrate data and technical resources and build up a unified interface service platform.

Customer Demands

Applications are poor in universality and data cannot be shared with information island formed among business applications

There are a large number of financial products and different forms of applications. From the perspective of the technical platform, there are many heterogeneous systems, the traditional architecture is dominant, characterized by too many data sources, difficult storage integration, high cost in repeated data storage and processing, and seriously insufficient capacity for cross-system data sharing.

The applications are simple in capacities and poor in flexibility and quick response

The business system has its functions highly coupled, poor in expansibility, insufficient in flexible response to new demands and unable to realize platform-oriented development. With the development of online business handling, identity recognition, automatic quality inspection, online video service, the number of files is increasing, but the processing performance tends to be continuously deteriorating, the applications are growing rapidly in demands for storage and simultaneously the project cost is increasing continuously.

It is difficult to mine the value of scattered data fragments and there is no sufficient competence for business performance

The fragmented business data is scattered in various application systems and different storage devices, which can not support further mining of the data value or facilitate cross-system analysis. Some businesses have begun to introduce big data analysis and AI data processing, but there is a clear trend of repeated capacity building for each business, so that the analysis capacity and processing results could not be shared.

Solution Overview

Business front-end:Support the core system, cost control system, customer service system, mobile business development and OA system. According to the principle of “small front-end, strong middle-end and large back-end”, let the agile small front-end connected with various external personalized demands.

Data middle-end:For the financial business system, it should provide unstructured data, such as video, images, document collection and display and other components; provide content retrieval and analysis API for certificates, bills, voice and texts; provide a data portal to enable the management of unstructured data documents.

Capacity back-end:It should provide unified intelligent storage, competent for mass data storage, metadata retrieval, data lifecycle management, use of plug-in AI framework, integration of the AI capacities in the financial industry and extraction of the valuable information from unstructured data.

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Customer Value

Platform-oriented ability, rapid development response
Service-oriented collection, display, quality inspection, identification and review capacities
Simplify application development and support rapid application release
Processing once for multiple applications to avoid repeated development and processing
Cross-business data connectivity for efficient utilization
Platform-oriented storage architecture to achieve data sharing and simplified management between business systems
Realize data integration, analysis and utilization across businesses, and avoid information island
EB-level capacity flexible expansion, able to support high concurrent access to 10 billion files and support large-scale business groups
Platform governance for the financial industry
Achieve unified management and control of the infrastructure resources in the capacity back-end; achieve unified data management and governance in the data middle-end, and provide unique credible data service
The service capacity of SandStone in the financial industry can help customers achieve systematic and standardized data platform governance

Success Stories

GF Securities

From NAS to distributed object storage, GF Securities advanced on the way of IT improvement

Platform-oriented ability, rapid development response

Cross-business data connectivity for efficient utilization

Platform governance for the financial industry

GF Securities