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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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Future-proof your business with a modern data platform

As your business collects an ever-growing amount of data, the role of your data platform becomes increasingly important. To manage exponential data growth successfully and future-proof your business, you need a modern data platform that maximizes the value for your entire organization.

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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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How to manage your Microsoft Azure costs like a pro

The total cost of ownership of your Microsoft Azure environment can easily spin out of control if not managed well. Don't look any further, in this post we show you both passive and active ways to stay on top of your cloud costs at all times.

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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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Power BI & Collibra: A match made in heaven?

If you’re using Collibra and Power BI without a connection, then this ‘how to’ guide is a must-read! We’ll share some of the synergies between the two platforms and walk you through the integration process step by step.

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5 reasons to move your BI environment to the cloud

More and more organizations are considering a move or partial move from an on-premise set-up to a cloud environment. But what's so special about the cloud? Should you migrate or not? In this blogpost we discuss 5 must-consider reasons to move your BI environment to the cloud.

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Why big data technologies are more accessible than ever

With the shift to the cloud, big data processing is more accessible and affordable than ever before. Frameworks like Hadoop and Spark have played a central role and can’t be ignored in a modern data stack. To understand how you can get the most out of these big data frameworks, we take you through the story behind the technologies and the crucial role they play today.

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Lots of freedom and opportunity to grow, but three non-negotiable rules: this is how we role.

When it comes to company culture and organizational structure, Datashift has always been a bit “the odd one out”. We don’t follow the classical format most companies have. We don’t have a layered organization. No one is interested in the big job titles (mind you, we’re still very ambitious!). And we’re all about reaching success as a team!

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