Results for tag: "Data Cleaning"

Data Cleaning is an important part of the Data Analytics process. It involves the process of identifying and correcting inaccurate, incomplete, or irrelevant data. This is done to ensure that the data is accurate and reliable for further analysis. Data Cleaning can involve a variety of techniques, such as data validation, data transformation, data integration, and data enrichment. Data validation is the process of verifying that the data is accurate and complete. Data transformation is the process of converting data from one format to another. Data integration is the process of combining data from multiple sources into a single dataset. Data enrichment is the process of adding additional information to the data. Data Cleaning is a growing market, with many companies offering services to help organizations clean their data. Examples of companies in this market include Trifacta, Paxata, Tamr, and Alation. Show Less Read more