Financial Imaging Financial Imaging

Financial Imaging Data Storage Solution

Background of the solution
Customer Challenge
Our solutions
Customer Value
Success Stories

Background of the solution

The exponential growth of financial imaging data is no longer supported by traditional technological architectures

The imaging system is an important business system for storing and managing customer data such as scanned copies and photos in banking, insurance counters, credit, underwriting, claims and other businesses. Its underlying technology architecture adopts traditional content management software and NAS storage. With the development of mobile, remote, and diversified channels for business processing, as well as regulatory requirements, the need to store unstructured data such as images, audio and video, and bills is growing exponentially. Traditional technological architectures are no longer able to support this, and new technologies need to be introduced to meet the storage and management needs of financial technology for ocean data.
The new financial industry imaging solution can not only store and manage data, but also further layer and store different types of data and mine valuable information, promoting technological innovation while reducing management costs.

Customer Challenge

Massive image small file data, performance and capacity face bottlenecks

Massive small files reduce system performance

Massive small files reduce system performance

In banking and insurance businesses, the image data stored in financial imaging systems is mainly in the form of KB level small files. With the increasing mobility of front-end business and regulatory requirements, the number of files has rapidly grown to millions, billions, or even billions, and the index data maintained by storage devices is becoming increasingly large, resulting in a serious decline in file read and write performance.

Rapid capacity growth leads to management complexity

Rapid capacity growth leads to management complexity

The storage of large files such as user audio and video data has changed the early design requirements for storage devices. The continuous expansion of storage capacity and the increasing number of NAS volumes have also brought challenges to management. The demand for capacity in business is uncertain, and it is difficult to plan the capacity of a single LUN. Business systems often need to perform storage expansion and change operations, which increases the difficulty of management.

Compliance requirements for financial industry regulations

Compliance requirements for financial industry regulations

According to national laws, regulations, and industry regulatory requirements, financial institutions must take practical measures to ensure the confidentiality, integrity, accuracy, timeliness, and security of information and data storage. The audiovisual images of key sales processes should be kept for at least 20 years in bank wealth management, 20 years in the securities industry, and 5-10 years or longer in the insurance industry depending on the situation.

The maintenance cost of ECM products is high

The maintenance cost of ECM products is high

In the traditional imaging ECM system used in the financial system, some manufacturers have announced the cessation of original factory services. Due to the complex architecture of the ECM system, without original factory services, deep-seated problems cannot be solved, and the business faces significant risks.

Our solutions

Distributed object storage technology, breaking away from the traditional "patchwork" architecture

In response to the imaging storage needs of the financial industry, SandStone has launched an imaging solution based on industry-leading distributed object storage technology. The solution integrates general x86 servers and their disk resources through SandStone's massive object storage software, which can serve as the underlying storage system for financial imaging systems and perfectly replace ECM systems.

Distributed object storage technology, breaking away from the traditional "patchwork" architecture

Customer Value

Building a solid imaging system storage base for the financial industry

Thoroughly solve the storage problem of unstructured data

Thoroughly solve the storage problem of unstructured data

Elastic distributed storage clusters have the advantages of high scalability, high performance, high availability, simple operation, and low cost, and are currently the best solution for storing massive unstructured data.

Breaking away from the traditional "patchwork" technology architecture, linearly scaling storage performance and capacity, eliminating system bottlenecks, a single namespace can manage hundreds of times more files than NAS storage.

Intelligent data management, automatic archiving and migration

Intelligent data management, automatic archiving and migration

数据分层存储,满足高性能和大容量需求的同时保障总体拥有成本最低。

Simultaneously supporting multiple replicas and erasure codes, balancing core system performance and audio and video storage cost based application requirements, with low storage and management costs, reducing storage costs by 40% compared to NAS storage.

The storage architecture supports the integration of third-party NAS devices to manage existing data without interrupting business operations. The migration solution from ECM to object storage ensures business continuity.

Targeting multiple sites to safeguard business operations

Targeting multiple sites to safeguard business operations

Automatic synchronization of data between multiple sites enables multiple available replicas of data in multiple data centers, improving data reliability.

Multiple sites remain active and can quickly switch to another data center in case of a data center failure, improving business continuity.

The aggregation and distribution function provides the data distribution topology capability between central and branch offices, enabling better sharing and utilization of business data.

Content perception and big data mining capabilities

Content perception and big data mining capabilities

Support object metadata and data retrieval to meet the needs of enterprise content management.

Business access and AI training platform share storage, without the need to copy data between storage and analysis.

Vertically integrated with the AI training platform Tensor OW, optimizing training efficiency, utilizing labels to quickly retrieve data of the same type, and conducting rapid regression training.

Success Stories

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