# Profiling and cleansing data

This example profiles US customer email addresses and phone numbers. It shows how to identify anomalies in address columns, how to use Talend Jobs to recuperate non-matching data and finally how to generate periodicevolution reports to monitor data evolution and share statistics with business users

### In this section

* [Setting up input customer data for the service](https://help.qlik.com/talend/en-US/studio-getting-started-guide-big-data-platform/7.3/setting-up-input-customer-data-for-service)
* [Identifying anomalies in data](https://help.qlik.com/talend/en-US/studio-getting-started-guide-big-data-platform/7.3/identifying-anomalies-in-data)
* [Browsing non-match data](https://help.qlik.com/talend/en-US/studio-getting-started-guide-big-data-platform/7.3/browsing-non-match-data)
* [Cleansing customer contact information](https://help.qlik.com/talend/en-US/studio-getting-started-guide-big-data-platform/7.3/cleansing-customer-contact-information)
* [What's next?](https://help.qlik.com/talend/en-US/studio-getting-started-guide-big-data-platform/7.3/what-s-next-after-data-profiling-and-cleansing)