The data scavenger hunt: Why analysts struggle and why AI suffers

Many analysts feel like they’re on a scavenger hunt, spending more time searching for data than analyzing it. Frustration from scattered data, missing context and slow access slows teams down, makes it hard to prove the impact of data initiatives and can even push top analysts to leave – while AI models and agents relying on the same data fail to deliver meaningful results.

Join us for this session to explore how a data marketplace built on data products empowers analysts and other data consumers to immediately and confidently find and use the data they need.

You’ll learn how to implement early governance and create a foundation for self-service access, speeding up discovery, supporting analytics and AI and keeping your teams engaged.

We’ll cover:

• Why analysts struggle, AI projects underperform and talent churn increases when data isn’t easily discoverable or contextualized
• How to turn raw, fragmented data into reusable, governed data products (data packaged with is relevant context, controls and access methods)
• Practical first steps on the journey to enabling self-service access and demonstrating tangible business impact quickly

Register now to secure your spot. Can’t attend live? Register anyway and we’ll send the recording.