Inconsistencies

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Furthermore, you should clarify which tasks each person has. Multiple people may be managing your data, but who will manage it in what ways? Who will generate analytics reports? Who will work on cleaning and validating your data?

Finally, determine when each person should perform each task. How regularly should data be cleaned? What events should prompt someone to generate a report?

You can establish a very clear data management system by answering all these questions.

2. Validate your data
The last thing you want in your CRM kuwait mobile number example is faulty data. Unfortunately, data can suffer from all kinds of issues, including:

Inaccuracies
Duplicate data
Varying formats
All of the above errors can cause problems for your data analysis. That’s why it’s important to perform data validation and cleaning.

Data cleaning is the process of going through your data and removing all the errors you find. Data validation is where, when importing data into your CRM, you verify that there aren’t still any issues.

Some data validation can be done automatically, but you may want team members to check everything to be sure. Either way, your CRM data entry system should account for some form of data validation to ensure your data is accurate.

3. Perform data backups and testing
Another essential item to include in your data management system is backups and tests. This isn’t a one-time thing—you should do these tests and backups regularly.

The backups are relatively straightforward. You want to have all your data backed up for an obvious reason—you don’t want to lose all of it if something goes wrong with your CRM or database. When you back up your data, you create a replica stored in a secure location that your team can access if needed.

Here are a few tips for creating a data backup you can use in case of a data breach: