How To Quantify POI Data Quality

Foursquare’s 6-C approach

Ensuring data quality is no easy feat.  In fact, every year, poor data quality costs organizations an average $12.9M, according to Gartner. Perhaps for this reason, data quality is cited as the #1 barrier to becoming more data driven, according to 451 Research.  With location data in particular, data strategy leaders cite maintaining fresh, up-to-date POI data, geocoding data, and appending location data to other data types as key challenges. So how can you verify that you’re getting the highest quality POI data in order to make confident business decisions and deliver reliably superior consumer experiences?

Join us for a webinar on 3/22, in which Foursquare Data Science expert Zisis Petrou will share a comprehensive framework – the 6 C’s – for understanding and ensuring POI data quality. You’ll learn

• Best practices to quantify POI data quality
• Key metrics to consider when evaluating POI data providers, from correctness, currency, and coverage to completeness, context and compatibility
• How to assess the accuracy, scale and utility of your location data