DataGalaxy Blog

Why your teams need data observability with their AI models
As data ecosystems grow more complex, ensuring the health and quality of that data becomes a serious challenge. Much like observability in software engineering, data observability offers a window into the health of your data systems. This enables teams to proactively monitor, detect, and resolve issues before they snowball. This blog post will explore data […]

Our top 3 takeaways from the Gartner D&A Summit in Orlando
Each year, the Gartner Data & Analytics Summit in Orlando brings together industry leaders, analysts, and innovators to discuss the latest trends and challenges shaping the data, analytics, and AI landscape. Keep reading to dive into team DataGalaxy’s key learnings from the summit, focusing on the future of the data governance market and the insights […]

Webinar recap – Building AI readiness & data trust with governance & observability
CDOs and AI leaders face big risks when business opportunities get derailed by a lack of data trust due to low levels of data governance and observability. Today’s organizations are striving to boost workforce data literacy by delivering clean, reliable data, but scattered IT architectures often make accessibility and usability a challenge. That’s where DataGalaxy […]

5 reasons why governance must connect with data quality
When it comes to data governance and data quality, many companies assume that an all-in-one solution is ideal. After all, having an integrated data quality tool within your data governance platform sounds convenient, right? In reality, choosing a flexible data governance solution – One that can connect seamlessly to in-house or best-in-class data quality providers […]

Gartner’s field guide for successful change management initiatives
For many organizations, “Becoming data-driven” is a long-term goal with no real path set to achieve it. Often, even starting the journey of organizational data management can be a daunting task that doesn’t offer a one-size-fits-all first step. Implementing the roles of Chief Data Offers (CDOs) and Chief Data Analytics Officers (CDAOs) is essential for accelerating organizational change toward a data-centric culture working to achieve data-driven business goals.

Multilingual AI governance: Why language & culture matter
With advancements in data-related technologies like AI, organizations with global operations are consuming and producing more data than ever before. Industry reports from analysts like Gartner, Forrester, and IDC highlight a gap in data and AI governance technologies that address the unique challenges posed by language and cultural barriers. Many organizations with global operations report […]