{"id":1905,"date":"2026-01-12T19:20:10","date_gmt":"2026-01-12T18:20:10","guid":{"rendered":"https:\/\/www.yourdata.de\/datenaufbereitung\/"},"modified":"2026-10-22T16:42:42","modified_gmt":"2026-10-22T14:42:42","slug":"data-preparation","status":"publish","type":"page","link":"https:\/\/www.yourdata.de\/en\/data-preparation\/","title":{"rendered":"Data preparation \u2013 from data to customer experiences"},"content":{"rendered":"\n
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Whether by post, telephone or digitally: only with complete and accurate data can you reach your customers reliably and address them correctly. CRM systems offer many functions, but without verified data, errors arise that can jeopardise trust and the success of your campaigns. Incorrect forms of address, incomplete addresses or exclusion lists that have not been taken into account do not leave a good impression \u2013 and in the worst case, may even pose legal risks. Here at yourdata, we ensure that your customer data is professionally verified, cleaned and sustainably improved. With more than 15 million refined addresses per year, we are familiar with the typical sources of error and have developed a processing chain that reliably improves data quality.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Requirements for professional data preparation<\/h2>\n\n\n\n
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<\/path><\/g><\/svg><\/span>Ensuring accessibility<\/strong><\/span><\/h3>\n\n\n\n

Addresses, telephone numbers and email addresses must be correct and valid.<\/p>\n<\/div>\n\n\n\n

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\n \n <\/path>\n<\/svg><\/span>Consistent forms of address and personalisation<\/strong><\/span><\/h3>\n\n\n\n

Titles, forms of address and name components must be correctly assigned.<\/p>\n<\/div>\n\n\n\n

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\n \n \n <\/path>\n <\/path>\n<\/svg><\/span>Ensuring legal certainty<\/strong><\/span><\/h3>\n\n\n\n

Block lists, advertising opt-outs and GDPR requirements must be consistently taken into account.<\/p>\n<\/div>\n\n\n\n

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\n \n\n <\/path>\n<\/svg><\/span>Avoiding duplicates<\/strong><\/span><\/h3>\n\n\n\n

Duplicate systems and redundant contacts must be identified and resolved.<\/p>\n<\/div>\n\n\n\n

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\n \n <\/path>\n<\/svg><\/span>Ensuring data consistency<\/strong><\/span><\/h3>\n\n\n\n

Contradictory or incorrect content must be identified and corrected.<\/p>\n<\/div>\n\n\n\n

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\n <\/path>\n<\/svg><\/span>Making the most of automation<\/span><\/h3>\n\n\n\n

Data preparation processes should be made efficient through automation. Manual processing steps should be kept to a minimum.<\/p>\n<\/div>\n\n\n\n

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\n \n <\/path>\n<\/svg><\/span>Assess special cases professionally<\/strong><\/span><\/h3>\n\n\n\n

Although complex cases or those that cannot be clearly automated can be detected by machines, they must be assessed manually.<\/p>\n<\/div>\n\n\n\n

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\n \n <\/path>\n<\/svg><\/span>Ensuring sustainability<\/span><\/h3>\n\n\n\n

Improvements must be permanently incorporated back into the source systems.<\/p>\n<\/div>\n\n\n\n

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\n \n <\/path>\n<\/svg><\/span>Ensuring measurability<\/strong><\/span><\/h3>\n\n\n\n

Quality improvements should be documented transparently and in a way that allows them to be traced.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Our approach to ensuring clean customer data<\/h2>\n\n\n\n
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Analysis<\/strong><\/div>\n\n\n\n
Check for typical errors and risks<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Automated checks<\/strong><\/div>\n\n\n\n
Use of over 50 checks for data consistency and completeness<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Automatic correction<\/strong><\/div>\n\n\n\n
Correcting obvious errors such as forms of address, mixed-up names and spelling mistakes<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Visual inspection<\/strong><\/div>\n\n\n\n
Manual review of suspected cases by our data stewards<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Repatriation<\/strong><\/div>\n\n\n\n
Transfer of the cleaned and processed data to your source systems<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Your benefits at a glance<\/h2>\n\n\n\n
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    Reliable and consistent customer data<\/div>\n\n\n\n
    A clean data set for professional customer communication.<\/div>\n<\/li>\n\n\n\n
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    Higher success rate in campaigns<\/div>\n\n\n\n
    Better delivery rates, more precise targeting and higher conversion rates.<\/div>\n<\/li>\n\n\n\n
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    Ensuring legal compliance through blocklist and GDPR checks<\/div>\n\n\n\n
    Reducing legal risks associated with marketing activities.<\/div>\n<\/li>\n\n\n\n
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    Automatic error correction<\/div>\n\n\n\n
    Efficient processing of large volumes of data using clear rules.<\/div>\n<\/li>\n\n\n\n
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    Manual checking of special cases<\/div>\n\n\n\n
    Quality assurance, even for complex datasets.<\/div>\n<\/li>\n\n\n\n
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    Relief on internal resources<\/div>\n\n\n\n
    Reduced workload for marketing, CRM and IT.<\/div>\n<\/li>\n\n\n\n
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    Sustainable data enhancement<\/div>\n\n\n\n
    Not a short-term fix, but a lasting improvement in quality.<\/div>\n<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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    0<\/div>\n\n\n\n
    Campaigns<\/div>\n<\/div>\n\n\n\n
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    Mailings<\/div>\n<\/div>\n\n\n\n
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    Segments<\/div>\n<\/div>\n\n\n\n
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    \n0<\/span>\n\n\n\nMio<\/span>\n<\/div>\n\n\n\n
    Replies<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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    Clean data is the foundation of successful CRM and campaign management.<\/h2>\n\n\n\n

    With well-maintained, consistent and legally compliant customer data, you can boost the efficiency of your campaigns, reduce internal workload and lay the foundations for long-term, successful customer relationships. Our tried-and-tested process ensures that your data is not only improved in the short term, but is also maintained within the system on an ongoing basis.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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    Contact<\/strong><\/h2>\n\n\n\n

    Let\u2019s work together to ensure that your customer communications make the best possible impression.<\/p>\n\n\n

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