Improved Data Quality Mitigates Financial Loss

Author(s): Gareth Doherty

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Poor data quality can have a serious impact on bottom-line performance and create compliance issues for regulatory reporting. Companies continue to throw software at the problem instead of focusing on business process improvement. Use data quality management to improve data quality.

Poor Data Costs Money and More

Organizations of all sizes are becoming increasingly reliant on enterprise data for the purpose of business decision making. At the heart of this trend is the increasing use of Decision Support Systems (DSS) such as Business Intelligence (BI) or enterprise resource planning (ERP). Given the dependence of decision making on data, the creation and maintenance of quality data is one of the most important tasks facing organizations today. Poor data translates into poor decisions, which in turn translates into wasted dollars. It also costs money to fix.

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