{"id":256393,"date":"2023-10-19T18:32:02","date_gmt":"2023-10-19T18:32:02","guid":{"rendered":"https:\/\/imarticus.org\/?p=256393"},"modified":"2024-07-08T19:04:34","modified_gmt":"2024-07-08T19:04:34","slug":"data-quality-6-pillars-of-data-quality-and-improving-your-data","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/data-quality-6-pillars-of-data-quality-and-improving-your-data\/","title":{"rendered":"Data Quality: 6 Pillars of Data Quality and Improving Your Data"},"content":{"rendered":"

Data quality is all about how accurate, consistent, comprehensive, dependable, and pertinent the data is that an organisation or a particular situation collects, holds, and employs.<\/span><\/p>\n

Having top-notch data is vital for making smart choices, conducting precise analyses, and drawing up dynamic strategies. Several elements, including the methods for collecting data, the procedures for inputting data, data merging, and data storage, can impact data quality.<\/span><\/p>\n

Ensuring that data quality remains high is of utmost importance for organisations. It allows them to discover valuable insights, make well-judged decisions, and realise their objectives.<\/span><\/p>\n

If you want to improve your data-related skills, pursuing a <\/span>data science certification<\/a><\/strong> can be a great stepping stone towards mastering the complexities of data quality and its impact on decision-making processes.<\/span><\/p>\n

What Is the Importance of Data Quality?<\/strong><\/h2>\n