Vibe Coding for Data Professionals
Most analytics professionals know how to build reports and dashboards.
The bigger challenge today is turning insights into something decision-makers can actually interact with, explore, and use in real time.
A new shift is emerging in the analytics space: Vibe Coding, the ability to build functional applications by describing requirements in plain language and leveraging AI to accelerate development.
For data professionals, this is becoming more than just another AI trend. It represents a practical new capability that sits between traditional BI tools and custom application development.
In this CAC Technology Collaboration Zone session, we’ll explore:
• What vibe coding actually is beyond the hype
• Why analytics professionals are uniquely positioned to benefit from it
• Where it fits alongside existing BI and analytics workflows
• Practical use cases for analysts, BI developers, and analytics leaders
• The types of business problems these lightweight apps can solve
• What realistic adoption looks like inside organizations
The session will also include a live demonstration showing how an interactive analytical application can be created using AI-assisted development approaches, illustrating how data professionals can move beyond static reporting toward more interactive, decision-focused experiences.
Learn from Tina Brzovska, a product and technology leader with 15+ years of experience in product management and computer science, as she shares practical insights on leveraging AI and automation to solve real-world business challenges. Her work focuses on streamlining workflows, improving operational efficiency, and building scalable solutions that create measurable business value.
This session is designed for:
✔ Data Analysts
✔ BI Developers
✔ Analytics Managers
✔ Data & AI Professionals
✔ Anyone exploring practical AI adoption in analytics workflows
If you’ve ever felt limited by static dashboards, repetitive reporting requests, or long development cycles, this session will provide a grounded perspective on where AI-assisted application development is heading and how analytics professionals can start thinking about it strategically.
Hosted by the Canadian Analytics Collaborative (CAC) under the Technology Collaboration Zone.