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Glossary on all things AI relating to data and analytics.

The bedrock for analytics success is having a strong data strategy. This article explores IIA’s point of view about data challenges, AI hype, and how to clear a path forward.

At IIA, we believe that the key to unlocking real ROI in analytics doesn’t just lie in technology. It’s about the underlying analytical foundations: people, data quality, organizing model, etc. The insights shared at our recent ALC Summit reaffirmed this vision. Check out some of them in this blog.

Granting SQL access to non-technical stakeholders may seem like a step toward greater self-service, but it introduces significant risks. This article from IIA Expert Brandon Southern explains why it's best to leave SQL to the analysts.

After 25 years working in the technology space and 15 years of leading analytics teams at companies including Amazon, eBay, VMware, and more, I’ve heard one resounding theme from leaders. They want their data analysts to be more proactive and to provide more recommendations to the business. Here's how to make that happen.

Building off the previous article in this series, this piece helps you get started on your data fluency journey, from creating an action plan to measuring success.

Check out the peer insights from IIA’s latest roundtable discussion on the essentials of responsible artificial intelligence (RAI) governance.

In this article we explore current trends and practical use cases that illustrate the benefits and potential of integrating external data into business strategies across various industries.

Take the next step in your data strategy. Read this article for actionable advice on integrating external data into existing frameworks.