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.

The 6 elements of a solid data governance framework

What's your biggest data governance challenge?

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.

What's your data challenge?

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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

Looking for an experienced data governance partner?

To truly unlock your data, it takes a clear strategy, a solid technological foundation and the right people. And that's what we provide for our clients.

Where are you today when it comes to your data? Reach out and discuss your challenge.
We're here to help.

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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Philippe Van Bouwel
Data Governance Domain Lead

Want to get trained in Data Governance? Follow The Link!

Get inspired by these data governance use cases

Data governance articles you might be interested in

Four essential steps to build a game-changing data marketplace

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Building an Ethical Framework for Generative AI

Generative AI has ushered in a new era of possibilities, from ChatGPT to Bard and DALL-E. However, as this technology gains momentum, concerns regarding its ethical use and control have become increasingly prevalent. In this blog, we explore the guidelines set by KU Leuven, shedding light on how to navigate the intricate landscape of generative AI responsibly.

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Kickstart Data Quality by Design with Great Expectations

Great Expectations, an open-source Python library, provides an excellent framework to kickstart your Data Quality by Design projects, creating visibility for data quality issues, and triggering calls to action for everyone involved.

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3 priceless tips to help you succeed in Data Governance user adoption

Data Governance is a collaborative process, and its implementation hinges on user adoption. Fortunately, much can be done to boost Data Governance user adoption. Check out our 3 priceless tips.

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Semantic data discovery: separating facts from fairy tales

Can semantic data discovery deliver on its promise to provide a better understanding of your data and facilitate the automation of your business processes? We know it can. Learn from our experience to understand how it works and what you can achieve.

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Data Mesh - Beyond the buzz

Chances are you have recently heard a lot about data mesh, a decentralized approach to sharing, accessing, and managing analytical data. So, let's dive into a practical example to help you understand what a data mesh stands for.

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Monitoring data quality just got easier with Soda

Soda is a new kid on the block when it comes to data quality. It excels in making it easy for business users to monitor the health of their data, enabling them to define data quality rules without a high level of technical knowledge.

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Power BI & Collibra: one step closer to heaven

As Microsoft released new APIs and Collibra has kept up with numerous new developments, the integration between Power BI and Collibra offers several new possibilities. Check out more details and download our guide with tricks and tips to facilitate this new integration.

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How can AI & ML strengthen data governance practices?

Artificial Intelligence & Machine Learning technologies have been on the rise throughout several industries. But what about AI & ML in data governance? What developments can strengthen data governance practices, and how will they most likely do that? And what is possible today?

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The future of Data Quality & Collibra DQ

We polled our Collibra consultant Evert on Collibra DQ, the newest extension to the Collibra data intelligence platform. How does Evert see the future of Collibra DQ and Data Quality in general? And what are the most significant opportunities for Collibra DQ, in his opinion?

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Data governance for banks: From defense to offense

When a football team is struggling to win games and a new manager is appointed, the first thing they aim to improve is often the defense. This makes sense... you can’t win games if you’re conceding 5 goals every game. Banks often tackle data governance in the same fashion, because of data regulations. But we want to encourage them to not stop there and go from defense to offense.

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Let’s gear up your Data Intelligence program!

Imagine, you have launched your Data Governance program 5 years ago. Over those years a lot happened: your team designed and implemented a complete Data Governance strategy. You can proudly call yourself GDPR compliant, your knowledge workers (e.g. data scientists) have access to data they trust and data is managed on a daily basis. You might think of taking the foot off the accelerator, but why not gear up? Automated data quality checks, data monetization opportunities and/or making your data management more efficient. Think big!

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Kick-start your data governance program with a business glossary

No one likes misunderstandings. We've all been in a "the Italian man who went to Malta" situation before. Annoyingly enough, this situation happens in a lot of businesses too. Many discussions between departments have the same root challenge: different people speaking different 'languages'. In this article, we’ll set the stage to take on this challenge.

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Why Collibra is the best data governance tool

Data governance is no longer optional. Businesses are on a path to data-driven decision-making and privacy laws are dictating the need for data integrity, security and compliancy. Choosing the right data governance software is an essential part of the road to data mastery. In this article we discuss why we believe Collibra is the best data governance tool in the market.

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The 5 ingredients of a successful data strategy

Many organizations struggle with ongoing data issues and are missing the opportunity to use data as a means to profoundly impact their business. What's usually missing is a comprehensive data strategy. Let's have a look at the 5 ingredients a successful long-term data strategy can't do without.

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5 reasons for an IT auditor to become a Data Governance Consultant

If you’ve been part of IT audit engagements over the past years, there’s no doubt you’ve developed such professional qualities while working behind the scenes in IT departments. But what if you could work with your clients in project mode and build on those skills to solve their business issues? Let me give you five reasons to become a Data Governance Consultant at Datashift!

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How to build a Data Governance end-user community

What is the most challenging part of a Data Governance program? We believe that getting your organization to participate in the program and creating buy-in is the most challenging obstacle on your road to success. In this article we focus on the question: How to build a thriving Data Governance end-user community?

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Collibra in the sky (with diamonds): Collibra’s transition to the cloud

You weren’t able to attend Data Citizens 2020 this year? No worries, we got you covered! Collibra Data Intelligence Cloud, the next generation of Collibra, will furtherbe built on their 4 pillars: Cloud Native, API First Approach, Edge Computing & Everywhere! In this blog post, we will give you insights in the first pillar: Cloud Native.

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