Managing data-intensive initiatives is distinctly different than traditional software development. Business managers don’t always know what’s possible, and it’s hard for data teams to be successful if the business isn’t sure what it’s asking for. Without a clear vision, even the most technically sound data products can miss the mark and fail to deliver the desired insights. How do we collaborate for success?

In this session, we will explore the analytics lifecycle and why a tailored approach is essential for data projects.

We will discuss:
- how to frame questions that the data team can help answer
- the key areas where product professionals and engineering professionals add value
- Techniques for defining requirements with the "end in mind"

Co-presented by a data engineer and a product manager, you'll gain insight from both perspectives as you learn how to turn raw data into real value—without wasted effort or misaligned priorities.