Special
Author: Tine Thoresen
Inside Reference Data | 13 May 2010 | 13:07
Category: Data Management | Risk Management
Tags: Special-reports
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No matter what data management studies come through the inbox these days, the conclusions tend to be the same: managing risk is a key project driver. The focus is on counterparty risk, liquidity risk, valuation risk and so on-all types of risk that need to be identified and managed. This means risk units are becoming more involved in data management projects and taking an increased interest in what goes on in the data world.
At the conference side of our business, we are starting to see more risk professionals attending and speaking at data management events, and others report that data management is even becoming an agenda item for risk-focused industry associations. The data experts might have tried for years to persuade the business that data quality is an instrumental part of any risk strategy, but for some, it is only during this year that they have succeeded in getting their message across. And even with the tight economic environment, projects that help identify and manage risk are typically the data projects that are still seen to meet the requirements of this year's ‘intelligent spending strategies.'
With this special report, which includes comments from industry experts and a news
review, we hope to provide readers with an insight into the reasons behind the close link
between data and risk management and the best strategies for taking the riskiness out
of the business.
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