One of the very first steps of data warehousing is data validation. It is important to perform data validation before proceeding with data processing.
What exactly is Data Validation?
Data validation is inspecting the accuracy and quality of the source data. This is a process that should be done before starting to use, import or process the raw data. It is very important because you want to make data-driven business decisions based on consistent, accurate, and complete data. By setting up a data validation process, an organization is able to do just that. The validation process can be applied to any kind of data e.g. XML or even CSV.
When should data validation be performed
During the data warehousing process, data validation should be performed before the ETL process (Extract, Transform, Load). Hendrikx ITC has over 18 years of experience with data validation tests to ensure that any data conflicts can be spotted and understood before making decisions. This prevents any data errors to misinform important business decisions.
Should you perform data validation?
A company relying on data to make important (business) decisions should always have a data validation process. Once you start to use data from a variety of sources, you want that data to be consistent, accurate, and complete. Failure to validate the data beforehand could result in decisions based upon incomplete, corrupted, or false information leading to bad choices.
FROM RAW DATA TO
DATA-DRIVEN BUSINESS
Let’s help you summarize;
- Data validation is inspecting the data on quality and accuracy
- Validation is best performed before processing, moving, or using the data
- A good data validation process improves your data quality and allows data-driven (business) decisions
Get your data validation right with Hendrikx ITC
Do you want to get started with data validation? Or are you currently struggling with themes like data quality, consistency, or other related problems?