10 Best Practices to Ensure CRM Data Quality

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10 Best Practices to Ensure CRM Data Quality

Your customer and prospect data is the heart and soul of your CRM. Utilizing CRM effectively helps you with better-targeted sales and marketing campaigns, cost savings, and an increased ROI. CRM is as good as the data which lies in it. To get the maximum benefits out of your CRM, you should have accurate and complete data. Sadly, data can be outdated easily as businesses constantly change and duplicate data is a known problem when you rely on multiple data sources. CMS with dirty data will do more harm than good causing obvious blunders that waste your time, money and reputation. Here are 10 best practices that can help you manage CRM data and get the most out of CRM investment. 1. Ensure Data Completeness One of the major reasons for poor data quality is incompleteness. You need to make sure your records are complete. A CRM record will have numerous fields. So, it is a must to make all the important fields mandatory. The number of such mandatory fields may depend upon your business structure while the most common ones are name, email address, phone numbers, and other contact details. 2. Avoid Data Entry Mistakes Enforcing data checking while entering them into the database can decrease the inaccuracy of data entered by 50%. There are many ways to ensure that only correct data is entered.   

You can make use of embedded spell check features of certain CRM software. For a specified set of values, you can use the predefined drop-down lists to enter values so that the operator does not enter the wrong values. Avoid entering duplicate values by comparing them against the existing values. One best way to do this is by comparing against an email address since email address is usually a unique field.


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