Addressing storage issues in different storage scenarios and data formats
Provide efficient, intelligent, and reliable data management solutions
Quick retrieval and invocation of business, enabling data to unleash greater value
Background of the solution
With the increasing online business of financial customers and stricter regulation in the financial industry, unstructured data such as images, documents, bills, receipts, and certificates are experiencing explosive growth. Scientific management and effective development of these data have become the key to making correct financial decisions and enhancing competitiveness. The SandStone Unstructured Data Unified Management Solution helps financial clients achieve unified storage, management, and value mining of unstructured data across business systems, enhancing their business management capabilities.
Customer Challenge
There are numerous financial products with different application forms. From the perspective of the technology platforms used, there are many heterogeneous systems, and the system architecture is based on traditional architecture
The main source of data is numerous, and storage integration is difficult. The cost of duplicate storage and processing of data is high, and there is a serious lack of cross system data sharing capabilities.
The coupling degree of various functions in the business system is high, the expansion ability is poor, and there is a lack of flexible response ability to new requirements, and it does not have platformization capability. With the development of remote business processing, identity recognition, automatic quality inspection, remote video services, etc., the number of files is increasing, but the processing performance is constantly deteriorating. The demand for storage in applications is growing rapidly, and project costs are constantly increasing.
Business data is fragmented and scattered across various business systems and storage devices, making it difficult to further explore the value of data and conduct cross system analysis. Some businesses have started to introduce big data analysis and AI processing of data, but there is a clear trend of redundant capacity building among various businesses, and they cannot share analysis capabilities and processing results.
Our Solutions
The unified management solution for unstructured data in SandStone is based on massive object storage MOS, providing massive storage and intelligent data processing capabilities. The massive storage core engine has the ability to store massive data, retrieve metadata, and manage data lifecycle, and can store and manage billions of levels of unstructured data. The iDataCook intelligent data processing platform utilizes plugin based AI framework capabilities to integrate AI capabilities from the financial industry, providing content retrieval and analysis services. It can mine value information from unstructured data such as videos, images, voice, documents, certificates, receipts, and text.
Customer Value
Provide a unified storage resource pool with namespaces to store all financial unstructured data.
Distributed architecture can flexibly expand on demand to meet rapidly growing capacity demands.
Platformization of storage architecture enables data sharing between business systems and simplifies management. Realize cross business integration, analysis, and utilization of data to avoid information silos.
EB level capacity elastic expansion, supporting high concurrency access to billions of files, and supporting large-scale business groups.
Data lifecycle management, automatic archiving of historical data to high-capacity and low-cost media, reducing overall costs.
The intelligent processing engine realizes the value extraction of unstructured data, and based on metadata and tags, achieves intelligent retrieval to accurately obtain target data.
Implement unified infrastructure resource management, unified data management and governance, and provide unique and trustworthy data services.
SandStone's service capabilities in the financial industry help customers achieve a scenario based, patterned, systematic, and standardized data management platform.
Success Stories
The storage and management of production line inspection data
Free to downloadThe solution expert will answer you within 30 minutes
We use cookies to personalize and enhance your browsing experience on our website. By clicking "Accept all cookies", you agree to the use of cookies. You can read our Cookie Policy for more information.
Scan code attention