Importance of validating data

Posted by / 26-Apr-2019 07:31

Internal validity refers to the validity of the measurement and test itself, whereas external validity refers to the ability to generalise the findings to the target population.Both are very important in analysing the appropriateness, meaningfulness and usefulness of a research study.

Although this seems like an easy validation to perform, enterprises don't often use it.Specializing in the areas of enterprise data warehousing, MDM, analytics and BI programs, he has worked mid-sized to Find out what's keeping teams up at night and get great advice on how to face common problems when it comes to analytic and data programs.From head-scratchers about analytics and data management to organizational issues and culture, we are talking about it all with Q&A with Jill Dyche.Have you ever had a set of reports that were distributed for years only to have your business users discover that the reports have been wrong all along and consequently lose trust in your data warehouse environment?Gaining trust is the foundation of user adoption and business value of your data management program.

importance of validating data-39importance of validating data-8importance of validating data-25

Validity is described as the degree to which a research study measures what it intends to measure.

One thought on “importance of validating data”