Abstract: 

The world is dynamically changing and so are businesses. By some estimates, 20% of new businesses close within one year of opening. Even before the pandemic accelerated business closures, the Small Business Administration reported in 2018 that since 1990, about 7-9% of all businesses (not just new ones) close each year. At the same time, the number of new business applications has continued to increase year over year, adding more complexity to staying on top of what businesses are in operation and where.

So with all of these changes, how can data scientists accurately model the real world to keep analyses fresh? Many POI datasets are only updated annually or quarterly, creating stale data inputs for models and forecasts. Hear from SafeGraph Places product manager Fletcher Berryman about how data scientists can stay on top of a dynamically changing world and maintain a fresh, precise, and high-quality POI database for confidence in their analytics.

Bio: 

Fletcher Berryman is a lifelong geographer currently serving as a product manager for SafeGraph with a focus on international spatial data. At work and beyond, Berryman is most drawn to research questions that involve the intersection of geographers’ traditional considerations of “space and place” with modern technologies previously unavailable for use in examination, especially in developing economies. Outside of SafeGraph, Berryman is a co-chair of the world's largest geospatial meetup (GeoNYC) and a research associate at the University of Chicago's Center for Spatial Data Science.