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In this strategically focused one-day workshop, you will develop a systematic understanding of how to build a modern data infrastructure and which architectural decisions are right for your company.
From the basics of data architecture to building data teams and developing concrete use cases, this workshop will empower you to strategically build data-driven initiatives in your organization.
The workshop is aimed at entrepreneurs, founders, managing directors, management and division heads, as well as IT managers who want to build or modernize a modern data infrastructure in their organization.
This workshop also enables participants to make informed architectural decisions and to act competently and decisively in internal discussions.
At the end of the workshop, you will be able to make strategic decisions about your data infrastructure. Not only will you understand the various architecture options, but you will also be able to specifically evaluate which approaches and team structures are right for your company. This workshop is not a theoretical exercise, but a strategic empowerment with concrete recommendations for action.
The workshop will be held in German. If you prefer English, please contact us at info-pdt@hpi.de
We will be happy to prepare an individual offer for you and your organization on request.
Interested? Send us an e-mail to info-pdt@hpi.de
1,000.00 €
plus VAT
This workshop bridges the gap between strategic thinking and concrete technology decisions. You will not only learn about the various architecture options, but also develop concrete approaches for successfully setting up data projects in your company. Through practical examples and the canvas method, you will be empowered to make informed decisions and act as a driver of digital transformation in your company.
A basic understanding of the role of data in business is helpful. If you would like to gain practical experience with data work first, we recommend the “Data Exploration” workshop.
This workshop was developed to provide you with strategic knowledge for building a modern data infrastructure. From architectural decisions and team structures to use case development, you will learn how to make the most of data as a strategic resource for your company.
What you will take away from the workshop:
Data architecture basics
Understand the fundamental architectural decisions: data warehouse for structured analysis, data lake for flexible data storage, data lakehouse as a hybrid solution. Learn the advantages and disadvantages of cloud vs. on-premise and find out which factors are relevant when choosing an architecture: data volume, data types, analysis requirements, and budget.
Building modern data infrastructure
Learn about the components of modern data infrastructure: how data is collected (ingestion), where it is stored (storage), how it is processed (transformation), and how it is made usable (analytics & activation). Understand the ELT principle and how it differs from traditional ETL approaches.
Structure data teams
Learn which roles are essential in modern data organizations: data engineers, analytics engineers, data analysts, data scientists. Understand how to build teams, which skills should be prioritized, and how to decide between centralized and decentralized structures. Learn when external expertise makes sense and when it should be built in-house.
Costs and scaling
Develop an understanding of the cost factors of modern data architectures: storage costs, compute costs, licensing models, and human resources. Learn how to control costs and build scalable architecture. Understand when which investments are worthwhile and how to identify quick wins that deliver rapid business value.
Use case development & prioritization
Learn how to identify and evaluate specific use cases for your company. Get to know the AI Innovation Canvas and apply it to your own questions. Understand how to prioritize use cases according to business value and technical complexity and develop a pragmatic roadmap – from the first dashboard to AI-supported applications.
From vision to implementation
Understand how to develop a data strategy that fits your business goals. Learn how to identify quick wins that build momentum while pursuing a long-term vision. Discover common pitfalls and how to avoid them—from oversized initial investments to lack of stakeholder involvement.
In Person
