QUADRANT DATA OVERVIEW

Product Overview

Data Dictionary

Global Data Counts

About Mobile Location Data

 

RESOURCES

Cross Account Bucket Access

A. AWS S3

 

Getting Started with Quadrant Mobile Location Data

A. Create a Database, Table and Partition

B. How To Run Basic Location Data Queries

i. Scale and Trend

ii. Depth

iii. Accuracy

C. How Geohash Works (Coming Soon)

 

All You Need To Know About Data Evaluation

A. Best Practices

B. SDK vs Bidstream Data

C. Data Evaluation using AWS Athena

 

Location Data Algorithms and Queries

A. Geo-fencing Query

B. Footfall Query

C. Nearest POI Model

D. Location Algorithms

 

SDK INTEGRATIONS

Android Integration

iOS Integration

Integrate with Unity3D for Android

Integrate with Unity3D for iOS

 
ASIA PACIFIC DATA ALLIANCE

About The Alliance

The Data

Use Cases & Data Science Algorithms

Access APAC Data Alliance Data with AWS S3

 
MEDIA LIBRARY
FREQUENTLY ASKED QUESTIONS

 

 

 

 

LOCATION DATA ALGORITHMS AND QUERIES


FOOTFALL QUERY

Returns the daily footfall of the specified geofence. This tool can be used in multiple scenarios, from retailers looking for insights to increase the footfall to physical stores to authorities assessing traffic patterns to urban developers researching targeted areas.

Estimate the footfall of any area, region or Point Of Interest. Analyse and discover footfall patterns such as seasonality of any area, region or Point Of Interest

Uncover correlations between footfall and other variables such as store revenue. Quadrant currently offers two types of Geofence Footfall Queries:

  • Footfall Circle Query
    •   - Retrieves the footfall within a circle geofence
    •   - Useful for most standard situations
  •  
  • Footfall Polygon Query
    •   - Retrieves the footfall within a polygon geofence
    •   - Useful for more targeted and irregularly shaped regions