About
Building a scalable and trustworthy model for identity resolution is challenging to say the least. It requires a consistent approach, a true universal identifier, and a flexible real time rules engine for profile merges.
In this webinar, our Sr Data Scientist, Nathan Wang highlights how a deterministic approach for identity resolution, leveraging first-party data, enables 100% reliable profile unification.
We'll demonstrate how to build rigidity around what should be fixed so that data science teams can focus on the highest impact areas for their specific business.
Agenda
- Key considerations for data teams regarding identity resolution
- How to simplify the approach of building your data pipelines
- Pros and cons of building vs buying
- How to construct an effective ID graph