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What are the characteristics of a data quality solution?
In today’s business environment, data quality characteristics ensure that you get the most out of your information. When your information doesn’t meet these standards, it isn’t valuable. Precisely provides data quality solutions to improve the accuracy, completeness, reliability, relevance, and timeliness of your data.
Why is accuracy a characteristic of data quality?
Accuracy is a crucial data quality characteristic because inaccurate information can cause significant problems with severe consequences. We’ll use the example above – if there’s an error in a customer’s bank account, it could be because someone accessed it without his knowledge.
Why is data quality important for a business?
Business users first need to have a plan to help them identify quality issues, track down underlying sources, develop mechanisms to resolve problems, and then set up a process to monitor and flag any new issues that arise. Analysts spend from 20 percent to 60 percent of their valuable time trying to understand and fix poor data.
How to determine the quality of a given set of information?
Data quality is crucial – it assesses whether information can serve its purpose in a particular context (such as data analysis, for example). So, how do you determine the quality of a given set of information?
Last Update: Oct 2021
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