As of: 19 June 2026 · Reading time: 4 min
Key takeaways
- In today's data-driven business world, access to comprehensive and consistent information is crucial for success.
- Nevertheless, many companies are struggling with a persistent pro...
In today's data-driven business world, access to comprehensive and consistent information is crucial for success. Nevertheless, many companies are struggling with a persistent pro...
“Good software is not an accident—it comes from a structured development process with clear quality standards.”
– Björn Groenewold, Managing Director, Groenewold IT Solutions
In today's data-driven business world, access to complete and consistent information is crucial for success. Nevertheless, many companies are struggling with a persistent problem: Data silos.
These isolated data storage systems hinder cooperation, complicate sound decisions and lead to inefficiencies. But what are the true causes of data silos and how can companies successfully resolve them?
What are data silos?
A data silo is a collection of data accessible to a particular department or team but not to the rest of the company.
This insulation leads to valuable information remaining unused and a holistic view of the company becomes impossible.
The consequences are diverse and range from redundant work to inconsistent customer approaches to missed business opportunities.
The emergence of data silos: A interaction between humans and technology
Short: Executive answer: In today's data-driven business world, access to complete and consistent information is crucial for success.
Executive answer: In today's data-driven business world, access to complete and consistent information is crucial for success.
For Data silos: Technical vs. organizational causes and how to resolve them, see Data Analytics & Business Intelligence und Discover solutions on our website for implementation paths and planning.
The causes for the formation of data silos are rarely purely technical or purely organizational. It is usually a complex interaction of both factors.
It is crucial to understand these causes to develop an effective strategy for data silos.
Organizational causes of data silos
Short: It is often the internal structures and processes that promote the formation of data silos.
It is often the internal structures and processes that promote the formation of data silos.
A strong department orientation, lack of communication and a lack of data strategy are the main drivers here.
Department selfism and lack of cooperation
Short: When departments primarily pursue their own goals and consider information as a power instrument, the emergence of data silos is almost inevitable.
When departments primarily pursue their own goals and consider information as a power instrument, the emergence of data silos is almost inevitable.
Each department collects and maintains its own data without sharing it with others. This leads to a fragmented data landscape and prevents cross-departmental cooperation.
Lack of data governance
Short: Without a clear strategy and responsibilities for data management, the framework for enterprise-wide data access is missing.
Without a clear strategy and responsibilities for data management, the framework for enterprise-wide data access is missing.
A lack of data governance means that there are no uniform standards for data collection, storage and use. This makes the integration of data from different sources considerably more difficult.
Technical causes of data silos
Short: In addition to the organizational aspects, IT infrastructure plays an essential role in the development of data silos.
In addition to the organizational aspects, IT infrastructure plays an essential role in the development of data silos. A heterogeneous system landscape and incompatible technologies are the biggest challenges here.
Incompatible systems and formats
Short: Many companies have introduced a variety of different software solutions for different departments over time.
Many companies have introduced a variety of different software solutions for different departments over time. These systems are often not compatible with each other and use different data formats.
The integration of these systems is complex
References and further reading
Short: The following independent references complement the topics in this article:
The following independent references complement the topics in this article:
- Bitkom – German digital industry association
- German Federal Office for Information Security (BSI)
- European Commission – Digital strategy
- MDN Web Docs (Mozilla)
- W3C – World Wide Web Consortium
"Legacy migration often fails not because of the stack, but because tacit domain knowledge was never captured—budget explicitly for knowledge transfer."
— Björn Groenewold, Managing Director, Groenewold IT Solutions
Frequently Asked Questions (FAQ)
What is this article about: “Data silos: Technical vs. organizational causes and how to resolve them”?
This article summarizes practical aspects of Data silos: Technical vs. organizational causes and how to resolve them for decision-makers and delivery teams.
In short: In today's data-driven business world, access to complete and consistent information is crucial for success. Nevertheless, many companies are struggling with a persistent pro...
Who benefits most from the content described here?
It is especially relevant for organizations in Software development that need reliable systems, clear interfaces, and predictable delivery — from mid-market teams to specialized departments.
How does this topic fit into an IT or digital strategy?
You can map the topic to service building blocks such as custom software and delivery support: architecture reviews and iterative rollout reduce risk and rework. For multi-system landscapes, IT consulting and architecture helps align vendors and internal teams.
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About the author

Managing Director of Groenewold IT Solutions GmbH and Hyperspace GmbH
Since 2009 Björn Groenewold has been developing software solutions for the mid-market. He is Managing Director of Groenewold IT Solutions GmbH (founded 2012) and Hyperspace GmbH. As founder of Groenewold IT Solutions he has successfully supported more than 250 projects – from legacy modernisation to AI integration.
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