Class instead of mass, quality instead of quantity

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Mitu100@
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Joined: Thu Jan 02, 2025 6:48 am

Class instead of mass, quality instead of quantity

Post by Mitu100@ »

data quality is a tricky subject, but don't worry - we won't leave you alone with it. We work with a range of functions to keep the quality of your CRM system high and also have some tips on data quality.


Import Wizard
CentralStationCRM has a flexible import wizard that allows you to import a wide range of data without errors. Most recently, we expanded it to include the import of tasks that can be assigned directly to existing users.
Automatically detect and remove duplicates
Our duplicate detection cyprus telegram screening and removal function allows you to identify duplicate entries based on three different criteria. This means you can automatically check large amounts of data for duplicates in just a few minutes.
Ongoing duplicate control
We also help you maintain data quality while you are working with CentralStationCRM. As soon as you create a new contact, we check whether a similar contact already exists in your CRM and warn you before the duplicate is recorded.
Website integration
The CRM website integration allows customers to enter their data directly into your system. Whether it is a support request or the first contact - the customer data ends up in your CRM system without manual processing and the risk of transmission errors.

It is better to maintain a few intensive customer relationships rather than many very superficial ones. If you are in regular contact with your customers, you will almost certainly notice changes in addresses or contact persons. You can then update the CRM data quickly. With mass processing, contact is usually much less frequent and, above all, more impersonal. The customer will not inform you of changes because they do not see you as an important partner and so you quickly end up with the example of the contact person who left over a year ago. Good customer relationships look different.
The quality of CRM data is a team effort. If everyone participates, understands the benefits of good data quality and feels responsible, this will have a positive effect on your work and customer satisfaction.
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