Webinar Recap: Secret Weapon SQL — What Marketing, RevOps, and Finance Need to Know in the AI Era

Takeaway:

• If your team missed the webinar, here’s the link to review it.

TigerEye hosted a live webinar focused on a topic that doesn’t always get the spotlight in conversations about AI: SQL.

While artificial intelligence is reshaping how teams interact with data, understanding what’s happening behind the scenes is more important than ever. SQL remains the language powering most business intelligence tools, and for go-to-market teams, it’s often the difference between trusting a number and second-guessing it.

Highlights from the webinar:

SQL is still foundational.
From dashboards to AI-generated insights, SQL is usually what’s running underneath. Learning how to read or write even basic queries helps teams ask better questions and catch errors before they spread. ‍

‍Knowing SQL breaks down silos.
When marketing, finance, and RevOps teams all understand how to get answers from the same system, collaboration improves. Instead of relying on long analyst queues or unclear metrics, teams can troubleshoot and explore the data themselves.

It’s more approachable than you think.
We walked through SELECT, FROM, WHERE, and GROUP BY — core commands that form the backbone of most SQL queries. These tools are already familiar to anyone who has worked in Excel, and you don’t need to be an engineer to get started.

AI makes learning and writing SQL faster.
LLMs like OpenAI, Gemini or Anthropic can now help with query suggestions, formatting, debugging, and optimization. You can ask questions in plain language and get SQL output you can learn from or use. This back-and-forth style speeds up your learning and helps teams move faster.

AI helps, but human review still matters.
While AI speeds up reporting, teams still need to validate the results. Inaccurate metrics can lead to poor decisions, and SQL gives you the tools to trace the logic behind the numbers.

At TigerEye, we believe transparency builds trust. That’s why our AI analyst shows its work. When you ask a question, it not only gives you an answer, but shows the SQL that generated it — so you can review it, refine it, or learn from it.

If your team missed the live session, here’s the link to review it. And if you want to see how TigerEye is modernizing business intelligence to help go-to-market teams move faster and make better decisions, we’d be happy to show you how it works.