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Get to know usApril 19, 2023
In our eight-part blog series, you will gain insights into the implementation of a customer data platform. After the initial planning stage, in which the project’s organization and requirements were defined, we are now in the implementation stage. In this stage, specifications have already been decided on, the basic configuration was implemented, and a data repository was created. At this point, the configuration of the use cases can be started.
Most customer data platforms offer so-called journey builders for the configuration of the defined use cases. These are often designed as simple point-and-click interfaces and consist of different elements that can be categorized into three types as follows:
In order to be best prepared for the go-live – and in addition to the final CDP implementation of the created data repository, some historical data is required, which should be transferred to the CDP. It makes sense to integrate customer data, consents, purchase histories or product data from a certain period. However, which data sets are useful in individual cases depends strongly on the defined use case.
Important: Particular care should be taken when migrating consent forms. In close coordination with the legal department, the period of time that the data may be used for the personalization of content should be defined for all data points.
Once the use cases have been configured in the CDP and historical data has been migrated, the final and decisive phase can begin: quality assurance and go-live.
Agentic Commerce July 24, 2026
AI in Knowledge Management: Bringing Knowledge into the Digital Channel
It’s 10:47 p.m., the shopping cart is full, but one question remains unanswered. The consultant knows the answer, but he’s no longer available. A company’s most valuable knowledge resides with its employees, rarely in digital channels. Read here to find out how AI makes this experiential knowledge accessible.
AI in Knowledge Management: Bringing Knowledge into the Digital Channel
Artificial Intelligence July 22, 2026
Interview: How to get started with Agentic AI?
Agentic AI creates long-term value only when AI applications are seamlessly integrated into processes and equipped with clear control mechanisms. Maria Kern, Digital Experience Architect, explained how an AI workshop can support a structured introduction to AI and help organizations achieve initial success by developing a production-ready AI agent.
Interview: How to get started with Agentic AI?
Customer Experience July 16, 2026
From Segments to Individual 1:1 Relevance: What Hyperpersonalization Means in Retail
Personalization is high on the retail industry’s agenda, but so far, it has been viewed primarily as a technical capability. AI is currently changing both expectations for personalized experiences and the technical means of delivering true one-to-one relevance. That is what hyperpersonalization ultimately comes down to: personality and context that build trust, credibility, and loyalty.
From Segments to Individual 1:1 Relevance: What Hyperpersonalization Means in RetailDon't miss a thing.
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