Intelligent Event Data

PredictHQ is the world’s first and only company that provides the missing context for the biggest external factor that impacts businesses demand – events.
PredictHQ’s intelligent data of verified global events enables businesses to forecast shifts in demand from events to be able to adjust their inventory, make changes to labor, dynamically price and operate more efficiently. Think conferences, sports games, college graduations, floods, and more.
PredictHQ brings all events into one place, combines it with world-first tools and intelligence to allow organizations to better predict and respond to changing customer demand created by events in an easy, reliable, and scalable way.
19 Data Categories
Attendance based events: sports games, performing arts, community, conferences, concerts, expos, festivals
Non-attendance based events: observances, public holidays, politics, daylight savings, school holidays, academic events
Unscheduled events: severe weather, airport delays, terror attacks, health warnings, disasters,
Live TV events
Customers & Use Cases
Customers such as Uber, InstaCart, Favor, and other delivery and ride-hailing providers use the data for driver retention, improved customer experience, and demand forecasting.
Transportation providers, including rail and bus operators, use the data for demand forecasting, as well as predicitng likelihood of service delays due to increased passenger demands from events.
Parking companies use the verified event data to better predict demand and as a result, more precisely match parking supply to demand.
Data Quality
PredictHQ's data quality is one of its key strengths: 
 

搜集汇总

背景与挑战

背景概述

该数据集提供全球实时和历史事件数据，涵盖19个类别包括体育赛事、自然灾害等，来自450多个数据源，每小时更新4次，被Uber等公司用于需求预测和运营优化。数据经过机器学习模型验证，日均处理2800万事件。