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Importantly, the data cleaning process is closely aligned with the company's goals: we remove information from the database that in no way allows us to achieve our goals. It is also important to perform a deduplication process, so we give each client a unique , this process allows us to remove duplicate data as this will also blur the image. The next step is to repair the data. In this step we correct the data (for example, the address data entered or the product name is incorrect) and complete the data (for example, the address is incomplete or the name is incomplete).
  
The final stage is to develop a remediation process and implement it. The correctness of the data collected is very important (eg verification of the number, verification of the length of the phone number and its correctness,verification of the correctness of the email address, verification of the photo retouching correctness of the delivery address). It pays to carry out the above process with the support of experts with appropriate knowledge and experience on these topics: in this way the process will run more efficiently. Unleash your business potential Tell us your needs and expectations and we will provide you with a dedicated business strategy.



Learn how we work and schedule a conversation with our experts today! Work with us! Fourth: Integration and automation and insist on optimization of analysis activities: the process of collecting and analyzing data should be automated as much as possible. What does this mean and why is it important? Let's say our database consists of data from all three parts (1st party, 2nd party and 3rd party data). Even if we only use a few tools,there are many of them. If the process of aggregating and analyzing them is done manually and the data is not combined automatically in any way, then this analysis will be less effective and the process will definitely be more time-consuming. So, once we identify the data, what do we do with it? We need to bring them together in one place.

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