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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.
Artificial Intelligence October 16, 2026
Autonomous Enterprise Journey: How AI value engineering creates measurable business value
How can the ROI of AI initiatives be reliably assessed and measured? How can companies identify the biggest levers and key processes for AI? Katrin Luft, Senior Expert at valantic and co-developer of the “Autonomous Enterprise Journey,” provides answers and recommendations in a conversation with Darya Basarhina, Vice President of Sales & Marketing and Manufacturing Practice Lead at valantic.
Autonomous Enterprise Journey: How AI value engineering creates measurable business value
Customer Experience October 8, 2026
Interview: From PIM to Data Spine – How companies prepare their data for AI
AI is changing the requirements for data, governance, and processes. Where should companies start, and what skills do they need? In this interview, Dietmar Rietsch, CEO of Pimcore, and Timo Huguet of valantic discuss the importance of clean data, the concept of the “Data Spine,” and the changing role of humans in the age of agentic AI.
Interview: From PIM to Data Spine – How companies prepare their data for AI
Customer Experience September 18, 2026
From webshop to virtual try-on: how AI is making its way into retail stores
Digital interfaces such as smart mirrors turn AI in the store into a tangible business case. What potential does this hold for the customer experience and in-store personalization? Matthias Vollmer explains how the retail industry can combine the best of both worlds and turn physical touchpoints into an intelligent part of the omnichannel journey.
From webshop to virtual try-on: how AI is making its way into retail storesDon't miss a thing.
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