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- W3023270296 abstract "This chapter discusses the various facets of data management in the securities industry and examines the present state of affairs in the industry. It introduces basic concepts in data management systems, followed by recommendations for an enterprise strategy for data management. It examines strategies that both address the old reference data problems faced by firms and create a data management system powerful enough to meet the new demands of the market. Market participants are currently plagued by the inefficiencies caused by data streaming in from disparate sources and stored in isolated silos across the firm. Coupled with the fact that these databases often vary in schema design and store data in a different format, the integration of such a group of databases is costly and time-consuming. Yet a consolidated integrated global view of data is exactly what is required in an STP environment. The costs of having poor data can run into millions of dollars, caused by a range of problems from unsettled trades because of incomplete information to high-risk exposure due to inability to calculate firmwide risk management. In order to address the state of scattered data throughout the enterprise, firms need to have a strategy, supported by a competent staff well-versed in the fundamentals of data management. Reference data are the key to implementing the STP architecture. Usually, reference data storage is a redundant, inconsistent, expensive, and sometimes manually intensive process. It leads to delays and failure of transactions, misreporting, and inaccurate risk analytics. Senior management now agrees that data should be effectively administered by a centralized group and at an enterprise level." @default.
- W3023270296 created "2020-05-13" @default.
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- W3023270296 date "2008-01-01" @default.
- W3023270296 modified "2023-10-17" @default.
- W3023270296 title "Data Management" @default.
- W3023270296 doi "https://doi.org/10.1016/b978-012466470-8.50008-6" @default.
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