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Meta Quality: The Data Quality and Metadata Bond

By Michael F. Jennings

How are you confronting the most arduous and critical challenges facing your enterprise information initiatives today? The state of your enterprise information depends on its data quality and metadata. Poor quality data coupled with incorrect interpretation and use of information from an enterprise application is a recipe for failure, since it extinguishes all confidence with the organization’s consumers, your users.

The consequences can be poor customer service, inept business processes, shipping or invoicing errors, lack of compliance, penalties from regulatory reporting issues and many others. Additionally, misinformed decisions by information consumers responding to industry market changes can have significant costs to and impact on the organization’s health.

This dilemma often results from organizations that fail to take advantage of the opportunity and initiative to improve data quality and metadata in the enterprise. This missed opportunity leads to increased time and expenses required to reconcile and audit data in the enterprise for accurate and reliable use as information. Through planning, design and implementation of data quality and managed metadata – as components of an overall enterprise data management framework – organizations can gain competitive advantage through effective and confident use of their information assets.

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