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10 Best CRM Data Management Strategies To Improve Your Data Quality

10 Best CRM Data Management Strategies To Improve Your Data Quality

Your customer and prospect data is the heart and soul of your CRM. Utilizing CRM helps you with better-targeted sales and marketing campaigns, cost savings, and an increased ROI. You should have accurate and complete data.


Regrettably, data is quickly out-of-date since companies move often, and relying on different sources of information is known to cause duplicate data problems. Unclean data in a CMS will do more damage than good, leading to glaring errors that squander your work, investment, and credibility. The following ten recommended practices listed by RSoft Technologies will help you manage CRM data and maximize your CRM investment.

While a CRM is traditionally used by sales, marketing and customer support team can benefit a great deal from it too.


Complete Date



Incompleteness is a significant factor contributing to poor data quality. Make sure all of your records are complete. There are several fields in a CRM record. Making all of the crucial areas essential is therefore necessary. Your business structure may determine how many of these required fields you have, but the most frequent ones are name, email address, phone number, and other contact information.



Data Entry Errors


Data accuracy may be reduced by 50 to 60% by requiring data validation as you enter the information into the database. There are several strategies to make certain that only accurate data is input.

  • Some CRM software has incorporated spell check functionality that you may utilize.

  • You can input values for a specific group of values using the preset drop-down lists, preventing the operator from entering the incorrect values.

  • Compare the new values to the current deals to prevent entering duplicate entries. Since email addresses are often unique fields, one of the best ways to achieve this is by comparing them against an email address.

  • Merging Duplicates


    The best technique to clear up data is to combine much information that includes duplicate data into one complete record. For example, the first record may have the first name, last name, and email address, but not a phone number, but the second record might have the same first and last name but also have more information about the telephone numbers. Combining the entries in this situation will be preferable to removing them.


    Secure Access


    You must be able to keep the CRM database clean because data is being added from numerous sources. This may be accomplished by limiting database access by creating roles and enabling only authorized users to edit and change data.


    Data Plan


    The data plan establishes data standards. By upholding and executing form, structure, and identifying rules for abbreviations, subject headings, designations, locations, business names, etc., to preserve uniformity of information throughout the organization, it contributes to the betterment of your data.



    Data Plan Redesign


    In order to keep your CRM clean, your CRM has to be scaled up in accordance with the expansion of your firm or some new business requirements. RSoft Technologies happens to be the best in doing so.


    In order to keep your CRM clean, your CRM has to be scaled up in accordance with the expansion of your firm or some new business requirements. RSoft Technologies happens to be the best in doing so.





    User Training Plans


    Educate CRM users on guiding principles for data quality. In order to get the most out of your data package, it makes sense to take this action.


    Maintaining Specific Data Formats


    When importing data from external sources, data formats must be followed. Mistakes will be decreased if data conformity is enforced.


    Timely Observersation and Updates


    Reliable data inspections help prevent conflicting states and boost systems assurance. Using a real- time update method can help you maintain your information comprehensive and accurate because data is frequently susceptible to change. You may manage real-time updates, automatic inspections using the cloud computing system, and a few additional capabilities. Without accurate and trustworthy data, a customer relationship management system cannot offer services to an enterprise.




    RSoft Technologies’ CRM improves your data quality by:

  • Irrespective of where the consumer is in the purchasing process, contact details should be organized and accessible.

  • Data input automation allows conversations to be automatically recorded and helps decrease the number of situations when data is erroneous, absent, or redundant.

  • To ensure the protection of your data, we provide numerous tiers of enterprise-grade security processes and regulations (HIPAA, GDPR, ISO).

  • Managing consumer demographic segmentation and monitoring of interaction activity.



  • Additionally, it provides accurate consumer data to your marketing team, enabling you to enhance the return on investment for your business.





    Finally, remember that excellent service and lasting client relationships are enhanced by great data quality.

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