Insight through Data Quality
Five Steps to Improve Business Insight Through Data Quality Organizations generate phenomenal amounts of data every day. To avoid being
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Category: Analytics
Seven Characteristics that Define Data Quality
While many organizations boast of having good data or improving the quality of their data, the real challenge is defining
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The difference between data quality and data integrity
Data Quality and Data Integrity Are Not the Same The difference between data quality and integrity is important to understand
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Implications of poor data quality in healthcare
Organizations are constantly challenged to maintain the right level of data quality. This is especially true in a risk-averse industry
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The Dimensions of Data Quality: Currency and Consistency
4th of a 4-part series Previous posts have provided an overview of data quality drivers and their associated dimensions. To
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The dimensions of data quality: completeness and duplication
A preceding blog provided an overview of the operational dimensions that are normally associated with data quality. To recap, these
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The Dimensions of Data Quality
Data quality is a broad topic, and the data management community has worked hard to dissect and define it so
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Mapping the Data Lifecycle
In business, we rely on applications, services, and data to improve the efficiency and effectiveness of the organization. One of
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Data Source Consolidation
Four Core Data Source Consolidation Considerations Every organization depends on a range of data sources to support different operational initiatives,
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Your friendly neighborhood data person
As digital transformation becomes mainstream and drives organizational growth, the enterprise information pipeline continues to expand, driven by a relentless
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