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Sep 12 2024

It’s Not the Tools, It’s the Culture: How to Roll Out Data Democratization

You want to implement data democratization, so you deployed all the new tooling and data infrastructure. You have a data catalog to manage metadata and ensure data lineage and a data marketplace to enable data discovery and self-service analytics. You’ve invested in the latest technologies to enable full self-service operation. The data management architecture you […]

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How to Regain Trust in Your Data: 5 Ways to Take the Fear Out of Data Management

“May you live in interesting times” is both a curse and a blessing. It’s a curse for those who fear what could go wrong, but it’s a blessing for those who look forward to changes with confidence. The same could be said of leveraging data. To be in that latter group, organizations need to be […]

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The Rising Importance of AI Governance

AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. As CEOs express concerns regarding the potential risks with these technologies, it is important to identify and address the biggest risks. Implementing effective guardrails for AI governance has become a major point of discussion, with a […]

Building a Common Data Language: How a Semantic Layer Drives Collaboration and Trust

The self-service analytics revolution was intended to free business users from IT chains. The idea was to break the IT bottleneck by allowing businesses to create their own data products. After all, businesses understand their respective domains better than anyone in IT could, and decentralizing the work of creating data products should theoretically increase the […]

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Building Trust in the Digital Age: The Role of Data Verification

Data has famously been referred to as the “new oil,” powering the fifth industrial revolution. As our reliance on data-intensive sectors like finance, healthcare, and the Internet of Things (IoT) grows, the question of trust becomes paramount. Trust is a multifaceted issue when dealing with data and events, and one core component is data verification. […]

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Eyes on Data: The Right Foundation for Trusted Data and Analytics

Trust. Trust is defined as the assured reliance or belief on the character, ability, strength, or truth of someone or something (Webster’s Dictionary). It’s a term we use often to describe how we feel about the people, the institutions, and the things around us. But I would argue that the term “trust” was used differently […]

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