Data Lakehouse - The foundation of your digital future

The importance of data for a digital strategy is undisputed. The problem: The data is often not available, not processable or not complete. The cause usually lies in the traditional IT infrastructure. The modern solution is a data lakehouse, as an evolution of the data warehouse.

Künstliche Intelligenz
Business Intelligence
Data Analytics
Data Science

Data lakehouse

A data lakehouse is a cloud-based data infrastructure in which data from different IT systems is brought together, modeled together and processed. It is the perfect foundation for the use of artificial intelligence or other intelligent algorithms that rely on data from different systems.

A data lakehouse is the evaluation foundation for all of the company's data

The application possibilities are almost unlimited. For example, you can link the CRM system with external industry information to support sales processes with algorithms. Another use case is the personalization of digital offers, be it in content, prices or marketing efforts. In the future, self-learning algorithms (artificial intelligence) will decide for themselves which form of personalization is played out to individual customers. Modern business intelligence, i.e. intelligent dashboards that calculate key figures across different data sources, are a welcome side effect. With a data lakehouse, they can easily and flexibly evaluate all of the company's data in all dimensions.

Thanks to modern cloud technology, setting up a data lakehouse is easier than many think. SCHICKLER has implemented numerous lakehouse infrastructures for media companies, and our data specialists estimate an average project duration of six months, during which the interfaces to the current systems are built and the data modeling is set up. Decisive success factor: A data lakehouse project should be driven by practical use cases and quickly bring measurable benefits to the business departments.

If you want a digital future, you need the right data infrastructure

At a time when digitization and data analytics are becoming increasingly important, publishers and enterprises are constantly asking themselves how they can use their data in an efficient and targeted way. Traditional data management, where data is stored in different systems and formats, is often a challenge here.

However, this is no longer a problem, because the Data Lakehouse offers a solution. It is the concept of the future that links and processes all data, providing a perfect basis for data analytics.

The Data Lakehouse makes it possible to personalize products and to address the user individually. By linking customer data, behavioral data and product preferences, the offer can be tailored to the individual user. This leads to higher user satisfaction and a better user experience. It is also possible to optimize advertising sales by linking CRM and market data. By using data analysis tools, better segmentation and targeting can be performed, which in turn leads to higher sales figures and better utilization of advertising space.

There are five steps to building a data lakehouse

  1. Analysis of the current data stock
  2. Definition of the individual basic structure
  3. Setting up the data lakehouse
  4. Linking and processing of the data
  5. Handover to the specialist departments.

Highberg offers you a unique combination of data science know-how and publishing experience. We build the complete data lakehouse for you, taking your tech stack into account. Our goal is to provide you with a simple and efficient solution so that you can make the most of your data.

If you have any questions about Data Lakehouse or would like more information, please feel free to contact us. We look forward to supporting you in the implementation of the Data Lakehouse and showing you how to use your data effectively.

Related insights