Data analysis must always consider privacy needs and regulations. Customer conversations with customer service hold quite a lot of personal data. Therefore, conversation analysis options may be quite limited unless technology is used for data masking or some other method of anonymisation.   Good quality data masking has been a must-have solution for a few of...

In our previous post we listed some reasons why manual call center quality assurance is a thing from the past. Call center analytics and using technology to make the most of the available data is where we are now moving to. Technological improvements have given rise to automated call quality grading systems. To analyse calls...

Why should you analyse customer feedback? When it comes to customer feedback, there are various forms that may be collected and analysed. The most common ones are NPS (Net Promoter Score) and CSAT (Customer Satisfaction Score). For companies selling various products, product feedback and reviews are also very relevant.  Collecting feedback is not too complex; the...

Most businesses find it very difficult to understand what their customers think of them. It is not plain and clear what the customer issues are. Therefore, finding data for making important business decisions is complicated. Managers often make decisions in the dark or based on their gut feelings. Decision making is easier by using conversation...

For most businesses, it is very difficult to understand what their customers think of them. They may not know exactly what the customer issues are. Finding data for business decisions is therefore complicated. Managers make decisions either in the dark or based on gut feelings. For businesses that have daily customer interactions and customer service...