{"id":308,"date":"2021-10-18T00:00:00","date_gmt":"2021-10-18T00:00:00","guid":{"rendered":"https:\/\/tac.debuzzify.com\/?p=308"},"modified":"2023-06-24T12:58:13","modified_gmt":"2023-06-24T12:58:13","slug":"data-quality-assessment","status":"publish","type":"post","link":"https:\/\/www.the-analytics.club\/data-quality-assessment\/","title":{"rendered":"How to Improve Data Quality With Data Quality Assessment?"},"content":{"rendered":"\n\n\n
Data quality assessment is the continuous scientific process of evaluating if your data meets the standards. These standards may be tied to your business or the project goals.<\/p>\n\n\n\n
The need for ensuring data quality has increased as the many different ways to acquire data are multi-folded.<\/p>\n\n\n\n
Handling a single data source alone can be challenging at times. Say, for example, a customer survey. It’s often difficult to normalize respondents’ information, even with online survey tools. Now imagine integrating and standardizing data from ERPs, CRMs, HR systems, and not to mention the many different sensors we use these days. Without data quality assessments, these are a problem for a lifetime.<\/p>\n\n\n\n
But there is good news! We’ve evolved along the complexities surrounding data acquisition and management.<\/p>\n\n\n\n
Data quality assessments play a crucial role in data governance. They help us identify incorrect data issues in a data pipeline at various levels. They also help us quantify the business impact and take corrective measures as soon as possible.<\/p>\n\n\n\n
Take, for instance, a data quality issue in the healthcare industry<\/a>. Suppose the data entry person duplicated a patient’s record; the patient would receive two doses of the drug instead of one. The consequences can be disastrous.<\/p>\n\n\n\n