One of our working areas is data matching. It is used to match data from different or the same sources with each other. It plays an important role in matching data indexes that are similar to each other and the same.

The example use-cases are as follows.

1. The same customer accounts in different sub-companies of a company are matched and the customer's purchasing experience is mapped. Customer-specific campaigns can be offered on different platforms

2- Users who have the same purchasing habits are identified and users who are in the same group can be contacted with similar product offers

3- Two different databases may need to be combined for analysis. For example, the data contained in different branches of a company should be collected and analyzed in the same environment. In this case, data in different formats may look like different data, but such data must be detected.

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