Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Overcoming Challenges of Movement Data Quality to Enable High Fidelity Use Case

Open Data Science via YouTube

Overview

Explore best practices for overcoming movement data quality challenges in this 30-minute webinar. Gain practical guidance on structuring evaluations of movement data, learn essential questions to ask data providers, and discover how to establish a reliable location intelligence platform. Delve into Foursquare's tech stack, quality assurance processes, and competitive advantages in handling movement data. Examine raw data processing, ping levels, vector scalar distance ratios, pipeline sequences, and methods for addressing demographic biases. Equip yourself with the knowledge to enable high-fidelity use cases and make informed decisions when working with movement data.

Syllabus

Introduction
What is Foursquare
Agenda
Foursquare
Tech Stack
Horror Matters
Technology
Quality and Scale
Competitive Advantage
Movement Engine
Raw Data
Ping Levels
Vector Scalar Distance Ratio
Pipeline Sequence
Demographic Biases
Summary

Taught by

Open Data Science

Reviews

Start your review of Overcoming Challenges of Movement Data Quality to Enable High Fidelity Use Case

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.