Resolve data silos in the cloud: How to make your data usable

In today's data-driven business world, access to accurate and timely information is crucial for success.

Companies that drive digital transformation and rely on cloud technologies often face an unexpected hurdle. Data silos.

These isolated data islands can affect efficiency, hinder teamwork and ultimately endanger business success.

In this post, you will learn what data silos are, what disadvantages they bring about and how you can resolve data silos to exploit the full potential of your business data.

What are data silos and why are they a problem?

In today's data-driven business world, access to accurate and timely information is crucial for success.

For Resolve data silos in the cloud: How to make your data usable, see Data Analytics & Business Intelligence und Discover solutions on our website for rollout paths and planning.

Data silos are isolated data that are inaccessible to other departments or systems within a company.

They often arise organically when different teams use different applications and systems that do not communicate with each other.

Data silos can be created in the cloud if companies use different cloud services from different providers that are not integrated.

While the cloud promises room to adapt and scalability, it can ironically contribute to the emergence of new silos without a thought-out strategy for data integration.

The disadvantages of data silos

The existence of data silos may have far-reaching negative effects on a company. Here are some of the biggest drawbacks:

• Inefficiency and double work: If data is caught in Silos, employees often have to compile and balance data from different sources manually. This leads to inefficient processes and double work.
• Dangerous data quality and consistency: In data silos, the same data can be available in different versions, leading to inconsistencies and poor data quality. This makes it difficult to obtain a uniform view of the company and make informed decisions.
• Prevented teamwork: Data silos make it difficult for cross-departmental teamwork. If teams do not have access to the data of others, they cannot work effectively and use synergies.
• Load business options: Insulated data prevent a 360-degree view of the customer and the business. This allows valuable insights and business options to remain undetected.

Strategies for dissolving data silos in the cloud

Short: The resolving data silos is not a one-time task.

The resolving data silos is not a one-time task. However, a continuous process that requires a clear strategy and the right tools.

Here are some proven strategies to integrate and make your data accessible:

1. Data inventory and analysis

The first step to eliminate data silos is to find and analyze your existing data landscape. Create an overview of all data

References and further reading

The following separate 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

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