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Improving Operational Efficiencies Through a Centralized Data-Management Approach

机译:通过集中式数据管理方法提高运营效率

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摘要

While it's no secret that the key to operational efficiency is streamlined data management, investment management companies continue to struggle with maintaining consistent and accurate data. There are a number of approaches for improving data quality, however centralizing data and establishing one common database has proven to be the most effective model. It's not uncommon for financial institutions to manage numerous data sources in various databases throughout their enterprise. In many cases, companies maintain best-of-breed systems, which offer little or no control over maintaining and auditing the data, which ultimately results in poor quality. As business groups lose faith in their company's ability to effectively manage and distribute accurate data, they begin to build their own databases and main- tain the data needed to support their business decisions.
机译:尽管提高运营效率的关键在于简化数据管理已不是什么秘密,但投资管理公司仍在努力保持一致和准确的数据。有多种提高数据质量的方法,但是事实证明,集中数据和建立一个通用数据库是最有效的模型。金融机构在整个企业中管理各种数据库中的大量数据源并不少见。在许多情况下,公司维护着同类最佳的系统,这些系统对数据的维护和审核几乎没有控制,甚至没有控制,最终导致质量下降。随着业务团队对他们公司有效管理和分发准确数据的能力失去信心,他们开始建立自己的数据库并维护支持其业务决策所需的数据。

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