Data excellence goes beyond governance

Data excellence brings order to your data, so you can use it successfully and sustainably. With our targeted Data Excellence Method©, you can tackle your data, digitalization, and AI projects successfully and in record time.

Anyone who deals with their data is dealing with their business. We have developed an approach that enables any organization to gain a clear business view of its data within just a few days, define terms and responsibilities, and maintain and reuse data sustainably.

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We take care of your data challenges

Data problems cannot be solved solely in IT – neither with additional technology nor with more developers. The only way to truly get a handle on your data is by addressing it from a business perspective. That means involving business experts, working out business definitions - including data quality requirements - , and assigning clear responsibilities and roles. In other words, Data Governance and Metadata Management – one cannot exist without the other.

We’ve brought it all together into what we call Data Excellence.

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What does it take?

A new kind of approach, not more of the same.

Data excellence means mastering your data and using it successfully. To make that possible, we create the organizational and business framework that enables your teams to meet all data-related requirements in their daily business.

It feels like standing in front of a mountain without knowing how to climb it. Conventional approaches tend to address the wrong causes and therefore don't work. If something hasn't worked, don't do more of the same —try something new instead:

  • Instead of a technical solution, focus on the business perspective
  • Instead of being pushed by IT and service providers, genuine understanding of the subject matter
  • Instead of starting implementation immediately, start with the business definitions
  • Instead of a technical bottom-up approach, a business top-down approach
  • Instead of solving problems with more and more manpower, use metadata-driven automation
  • Instead of recreating technical logic with reverse engineering, understand data with forward engineering
  • Instead of replacing internal resources with external ones, enable your own employees
  • Instead of starting from scratch with every project, make data reusable
  • Instead of dealing with frustrated employees, create more time for the actual job and enjoyment in the project
  • Instead of exponentially rising IT costs, get expenses under control
  • Instead of never-ending projects, shorten throughput times and thereby reduce time to market

What our clients say

With the Data Excellence Initiative, we laid the foundation for sustainably increasing the value of our data. After one year, we see clear progress – from successful use cases to greater transparency through metadata management.

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Henning Brink

Data Excellence Coordinator at EWE AG

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The dataspot. Data Excellence Framework


Achieving control over your data requires addressing a wide range of interconnected topics. To make this journey manageable, dataspot. has developed a structured framework with clear concepts and methods for establishing data excellence across the entire organization. This approach has already been successfully implemented with more than 100 customers, helping them create transparency, improve governance, and unlock sustainable value from their data.

A reliable framework that works – not just in theory, but in practice.

Graphic dataspot. Data Excellence Framework


These data challenges must be addressed to take control of your data:



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What is Data Excellence?

Excellent data management means mastering your data, minimizing effort, and using data profitably. This is not only achieved through IT, but also requires a business framework so that data can be understood and used by everyone in the company—in other words, a business and governance perspective.

Data excellence thus creates the basis for challenges such as digitalization, AI, and innovation—and connects data strategy, processes, roles and architecture.

Master your data, don’t let it master you.