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Shenzhen Securities Information Co., Ltd.

 

As a subsidiary of the Shenzhen Stock Exchange, the Shenzhen Securities Information Co., Ltd. authorizes quotations and indicators to the market on behalf of its head office, while operating a range of autonomous information services. The firm is a subsidiary of the Shenzhen Stock Exchange (SSE).

“By deploying the Informatica Platform, Shenzhen Securities Information Co., Ltd. has established a highly efficient SWIFT application platform that greatly facilitates SWIFT information interaction. Through a fully automated data processing workflow, Informatica has significantly reduced our labor costs and improved the operational efficiency, as well as effectively mitigated risks.”

— Fu Dewei, Director and Executive Vice General Manager, Shenzhen Securities Information Co., Ltd.

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Business Need

Unleash the potential of securities and client data.

Lower the cost of managing IT.

Increase business agility.

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Challenges

Time-consuming manual data entry undermined data accuracy.

Manual coding undercut scalability of data applications

Cost overhead of managing intricate and isolated data sources in unstructured and complex data formats was excessive.

Data lacked consistency.

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Solutions & Results

Increased profitability.

Enabled the company to respond more rapidly to customer enquiries.

Introduced a fully automated process for enterprise data maintenance.

Helped reduce previously significant labor costs.

Created more business opportunities for serving a larger customer base.

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Products & Services

Informatica PowerCenter

Accesses, integrates, and delivers any and all data quickly and cost-effectively, without hand coding.

Application Retirement

Extracts and utilizes data from any file, document, or message — regardless of format, complexity, or size.

Success Stories

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Illinois State University

Illinois State University relies on Informatica to standardize data analytics that enrich students’ experiences and promote academic achievement

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Vale

Vale delivered archived data compression rates averaging 95 percent, and saved $1 million annually in storage costs