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Our case studies

We love, live and breathe data — and here are a few examples of what we have already implemented for our customers in a wide variety of industries.
Always with our individual framework: organization, architecture and culture.

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Data Warehouse 3D Rendering Data Institute

Von Datensilos zur strategischen Schatzkammer

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.

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babymarkt is data-driven

babymarkt is data-driven - case study

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.

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More Case studies of the Data Institute

Tech audit for share

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Into the future of data for share with a tech audit

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.

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Data Audit and Data Design

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Data Audit and Data Design

Detailed identification of weak points in the three aspects of culture, organization and architecture.

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Couple reading a newspaper

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MediaPrint reinvents itself in terms of data technology

MediaPrint runs the Krone and Kurier Brands and thus a wide range of products, as well as lots of data points. The publisher wanted a clear structure and the development of a data culture, which was made possible by the use of an interim CDO.

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Development of recommendations for action through PoC implementation

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PoC provides the basis for recommendations for action

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

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Hub & Spoke Model and Data Roll Out

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Hub & Spoke Model and Data Roll Out

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

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Man reading messages on smartphone

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What content do people want to read?

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.

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Woman sitting on couch with her smartphone

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Case study for the use of data: opt-ins

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.

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A modern data stack for in-depth customer analysis

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Modern data stack to leverage the potential of data

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.

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Group of people looking at their smartphones

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Decrease churn rate

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.

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Young man signs up for a newsletter

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Using leads in publishing in a targeted manner

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.

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