Best Practices in Data Validation

Data Quality is the buzz word in the digital age.

What is data quality and why is it so important?

“Data quality” is the term that is probably hidden but plays an important role in many streams. Data plays a vital role in acquiring a market place, especially in enterprise data management stream.

Data Quality Examples

Following are some examples which emphasize the need for data quality.

• A customer shouldn’t be allowed to enter his age where he has to mention his marital status.
• When a customer enters a store, there is a high possibility that he might miss out his original details to be filled up with the forms, some of it can be in a hurry not mentioning a correct phone number.
• There is also a possibility of the billing staff to wrongly enter the store address as default in place of the customer address which contributes to a bad quality data that gets persisted in the system.

This data may be crucial as the customer might not just be a Guest customer and the customers’ viable interest towards the store becomes obscure.

This blog post speaks on Data Quality, the significance of Data Quality, business impacts, best practices to be followed, and Mastech InfoTrellis’ specialization in Data validation.

http://www.infotrellis.com/best-practices-data-validation/