Up-to-date, correctly structured and processable data is an important foundation for successful direct marketing. Trebbau helps businesses check, update and match customer and address data and prepare it for marketing, mailing and production processes.
This creates a reliable data foundation for your communications and helps you avoid unnecessary wastage and costs.
What does professional data management include?
Customer data often comes from different sources, systems and processes. As a result, individual datasets can vary considerably in structure, quality and how up to date they are.
Professional data management ensures that this data can be checked and processed for its intended purpose – from updating and matching through credit checks and mailing processes to print preparation.
Trebbau supports B2B and B2C businesses in processing their datasets, connecting data quality with the marketing and production processes that follow.
Assess your data quality: the Trebbau Data Quality Check
How good is your data really?
The Data Quality Check gives you an initial assessment of the quality of your customer data. We review your dataset and highlight areas where improvements can be made.
The check provides a basis for deciding which further measures would be useful for your dataset.
Data Quality Check: free of charge and without obligation.
Services for your data
Different measures are needed depending on your starting point and intended use. Trebbau offers five coordinated service areas.
Data updating
Are addresses, salutations and other address components still correct and complete? When updating data, we check and correct relevant details to create an up-to-date, consistent data foundation.
Data matching
Data matching compares address lists with other datasets and reference data. This can identify duplicates, changes of address, deceased individuals or undeliverable addresses, for example.
Credit checks
Credit information can help assess financial risks when approaching customers or using rented address lists and guide the measures taken accordingly.
Postage optimisation
Mailing costs are also part of an efficient direct mail process. Trebbau checks the relevant mailing data and helps identify suitable mailing options and opportunities to optimise postage costs.
Print preparation
For data to be processed correctly during production, it must be prepared for the relevant printing and output method. Trebbau prepares your data for the production process that follows.
Why choose Trebbau for data processing?
For us, data quality goes beyond correcting an address. What matters is that the data can actually be used in the intended process.
Trebbau therefore combines data processing and data management with many years of direct marketing experience. We understand data requirements both from the perspective of audience targeting and from the mailing and production processes that follow.
This enables coordinated solutions, from checking and preparing your data through to further processing within the direct mail workflow.
Complex datasets can also be accommodated. These include data from different sources, systems, languages or writing systems, for example.
Improve your data quality with a targeted approach
Would you like to know how up to date and usable your customer data is, or which measures would be suitable for your dataset?
The Data Quality Check gives you an initial overview. We can then work together to determine which steps make sense for your specific use case.
Speak to or use our contact form.
Frequently asked questions about data processing and data management
A check is particularly useful when data from different sources has been combined, a dataset has not been updated for some time, or there is uncertainty about how up to date and usable the data is before a major marketing or mailing campaign.
Data updating focuses on checking and correcting existing details, such as addresses and salutations.
Data matching compares datasets with other datasets or reference data to identify duplicates, changes of address, deceased individuals or undeliverable addresses, for example.
Datasets with different structures can be standardised and prepared for further processing. The steps required depend on the structure, format, origin and intended use of the data.
The Data Quality Check provides an initial assessment of the quality of the dataset reviewed and highlights opportunities for improvement. This helps identify which further measures could be useful for the specific dataset.
