Our case studies

Learn how HAAS media group used modern data architecture to consolidate fragmented systems, automate manual processes and create a 360-degree customer view for higher conversion rates.

The introduction of a new data infrastructure reduces manual processes, which saves time and resources. Linking different data sources provides new insights into customer behavior and campaign performance, which leads to better decisions. Data access is simplified and legally secured.

From spotlight audit to design phase 0 to the basis for an optimized architecture and infrastructure — This Is how the eCommerce company babymarkt can prioritize Its data topics and take the next steps for automation and data-driven work.

share, a growing company focused on sustainability, needed support with its data infrastructure. A tech audit identified weaknesses in the data stack and provided recommendations for action to improve data quality, availability and cost efficiency. The result: an optimized setup for future growth.

Pieper's Data Journey: Quick analysis provides clear recommendations for digital sales, omnichannel & scalable data platform with customer golden record.

HAAS Media Group solved its complex challenges through a systematic status quo assessment. The audit identifies weaknesses in technology, organization, and culture.

MediaPrint Case Study: Strategic data governance transformation at Austria's largest newspaper publisher. Status quo analysis, hub & spoke model, organizational realignment.

The implemented PoC forms the basis for further tool decisions to introduce a modern data platform

Program developed for organization, architecture, culture; mission & vision for data organization

Our world is becoming ever more customer-focused, faster and more individual. People can order their favorite products day and night and receive them individualized and adapted to their needs within a very short time. This claim is also reflected in the consumption of content: Customers want to read what appeals to them right now.

There are many use cases for using data. When we talk about opt-ins, many people think directly of cookies and eCommerce — but publishers also have problems with defective or missing opt-ins.

A modern data stack is being introduced to connect various data sources and thus integrate and evaluate distributed data in a targeted manner. This makes it possible to implement various use cases, including the analysis of customer behavior in the shop and the evaluation of product data with regard to inventory and sales.

Churn is a huge problem in companies. The churn rate, also known as customer churn rate or cancellation rate, describes how many customers have left the company as customers in relation to the total number of customers in a specific period of review.

Receiving leads is one of the main wishes of companies — not just from publishers. But the collected leads must also be addressed and used correctly, otherwise they expire.