Information Technology

The Data Quality Imperative in Governance, Risk, and Compliance (GRC)

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More than ever, organizations require trusted, high quality data to satisfy governance, risk, and compliance (GRC) initiatives. Organizations are discovering that poor quality data has a significant impact on their ability to support business processes, comply with industry regulators, and to make accurate decisions and are raising the visibility of data quality activities within their enterprise information management programs. Having access to high quality data is a major concern for executives today responsible for GRC activities within their organizations. As a result, a common thread runs through successful GRC initiatives in each of these areas: the prerequisite for high-quality data to add accuracy and value to deliver trusted data to the enterprise.
Organizations pay a significant price as a result of poor quality data. Up to 75 percent of organizations have reported significant problems as a result of defective data; more than 50 percent had incurred extra costs due to the need for internal reconciliations, 33 percent had been forced to delay or scrap new systems, and 20 percent had failed to meet contractual or service level agreements.1
Organizations need to adopt a comprehensive, life-cycle approach to addressing data quality in order to meet their GRC needs, including specifi c requirements from country and industry regulators. Data quality processes include both business and IT roles and support a range of business applications, as data is entered into and moved between applications. This gives organizations the confi dence that the data they use to make strategic decisions—and data that is shared with partners and customers—is accurate, current, and consistent.
Informatica ensures that accurate, consistent, and timely data is delivered to new and existing business systems in support of an over-arching GRC strategy. As a result, organizations are poised to make confident, timely business decisions, satisfy regulatory data requirements, minimize IT project risk, and reduce the cost of producing timely and trusted data for GRC.

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1-20

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English

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The Data Quality Imperative in Governance, Risk, a

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