What is data quality, and why is it important?

Principles of Information Systems (MindTap Course List)
13th Edition
ISBN:9781305971776
Author:Ralph Stair, George Reynolds
Publisher:Ralph Stair, George Reynolds
Chapter9: Business Intelligence And Analytics
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What is data quality, and why is it important?

 

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Data Quality

Data quality can be defined in many different ways. In the most general sense, good data quality exists when data is suitable for the use case at hand. All computer based systems depends on data. Data is one of the most valuable resources, the quality and integrity of the data are critical. Data in organizations database are frequently found to be incomplete, inaccurate and ambiguous.

Several definitions use the following rules for evaluating data quality:-

1. Completeness

2. Consistency

3. Accuracy

4. Validity

5. Uniqueness 

6. Timelines

 

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