Data Governance

Data governance is no longer just a means to meet legal and compliancy needs. Today, it’s at the root of turning organizations into well-oiled machines. Let's turn your data governance use case into a success together.

Data governance is the foundation of high quality data. It's the driver of better insights and business decisions.

For your data to be an asset, it needs to be governed. Data governance provides the framework, policies, processes and definitions of your data. It sets the standard to achieve your business goals.

In reality, a lot of data governance projects fail, because of the high level of complexity. Data governance runs through all levels of an organization. That's why partnering up with a specialized data company means the difference between a successful project and one that fails.

From data to impact

Data governance projects are often looked at as a huge exercise that might take years. It feels like a big mountain that can't be overcome, but it shouldn't have to be that way. What organizations fail to see is that it's possible to start managing data very gradually, with minimal impact on daily operations.

  • Defining Data Definitions
  • Focus on Data Quality
  • Improve Data Security
  • Deliver Data Access
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Turn your data into an asset

Your data is an opportunity to get a competitive edge, to mitigate risks and to grow your business in a sustainable way by making the right decisions. Our advice? Start small, but start now. The sooner you start organizing and managing your data, the sooner you'll see the effects.

Let's talk

datashift ceo nico huybrechts

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Datashift has been a great partner in our data intelligence journey. They were not only operational on day 1 thanks to their impressive Collibra expertise, also throughout the project, they have proactively shared their experience and provide guidance on the best ways to make data work. They have demonstrated great flexibility and stakeholder management during our governance project.

Arthur Burkhardt,
Data & Knowledge Management Lead, UCB

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"Too many organizations spend their time and money on the end product of data (e.g. reports, apps, algorithms) while they forget to take care of the raw material (= data). What gets measured, gets managed. So start by measuring your data assets."

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Lynn Van Avermaet
Data Governance Lead

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Get inspired by these data governance use cases

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Tech Review: Tracing Data Lineage from Notebooks into Microsoft Purview

Integrating SparkLin with Microsoft Purview allows for capturing and visualizing end-to-end data lineage in Spark environments. This enhances governance, transparency, and audit readiness. The refined SparkLin codebase ensures seamless integration into data governance frameworks.

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How Collibra and SAP are revolutionizing Data Governance by Bridging the Enterprise Data Divide

Managing SAP data is complex, especially with siloed teams and fragmented information. Without strong data governance, collaboration weakens, documentation suffers, and visibility declines.

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When Data Governance Meets Data Engineering: Optimizing Microsoft Purview with SparkLin for Automated Lineage

Data lineage is more than a technical feature; it is a cornerstone for understanding how data flows, transforms and integrates across systems.

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One-Stop Shop for Data Governance: Why Collibra is a Game-Changer

At Datashift, we've witnessed firsthand how Collibra can transform Data Governance practices and keeps pace with evolving market demands.

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Shift from data to impact today

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