Overture Member Summit 2026

Modern mapping systems depend on data coming from many different sources, including internal datasets, external providers, and community contributions. While each source may be valuable on its own, combining them into a single, consistent map is far from trivial. Differences in schemas, coverage, update cycles, and quality standards often lead to conflicts, duplication, and inconsistencies that must be resolved before the data can be reliably used.

This session explores the practical challenges of turning multiple heterogeneous datasets into one coherent map. Drawing from real world integration experiences, it highlights the types of issues that commonly arise when aligning data across sources and the trade offs involved in resolving them. The talk frames data integration not just as a technical task, but as a continuous process that directly impacts map quality, scalability, and the ability to maintain a trusted representation of the world.