High-Quality Data You Can Trust and Scale

Large scale data analysis needs high quality input.

Oracle OpenWorld

San FranciscoSun, 1 Oct  (5 days)

Independence Day

United StatesMon, 4 July

French Fry Fest

San FranciscoSat, 8 July

Why PredictHQ?

Many of our power-users originally tried to build their own event prediction engine before realizing how complex and costly this is. So they partnered with PredictHQ.

Every week, thousands of events impact demand globally. Whether it’s big events or multiple smaller ones creating perfect storms of demand, companies that know in advance can prepare better. Before PredictHQ, there was no central source of real-world event data. We’ve spent years building a unique, powerful event processing pipeline so your team can access trustworthy, intelligent event data in minutes.

Aggregate

Fetch event data from hundreds of sources

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Performing Arts Community Daylight Savings Conferences Festivals Severe Weather Observances Concerts EXP O Expos Sports Politics School Holidays Terror Disasters Public Holidays Airport Delays

Standardize

Convert raw data to a standard format

De-Dupe

Combine duplicates into one reliable event

Our system finds a football game with 30,000 expected attendees. It finds eight listings of this game from five sources. Our unique model kicks in and deletes all but the most detailed and reliable of the listings.

Filter

Remove dirty data — such as
spam— to ensure data accuracy

30% of events are spam, add-ons or duplicates. Significant machine learning drives our spam filter, which is why it can be so accurate at such a high volume.

Geocode

Pinpoint location based on latitude and longitude and tags a timezone

We add or update geocoding information on 50% of events.

Enrich

Additional contextual data is added from a range of sources for deeper insight

Event Time

Start and predicted end times are included in the intelligent event data

Some event data sources provide start times but none provide the end times for every event. This is critical for transport, delivery and ride sharing companies that want to ensure drivers are at a location when an event ends.

Rank

Every event is assigned a numeric value on a logarithmic scale between 0 to 100 to represent its predicted impact.

Focus on the events that will have the highest impact. Accurate ranking is complex but essential for scalable demand intelligence and forecasting.

Customer

Clean, accurate, and intelligent event data delivered directly to you

We’ve built immensely complex systems required to aggregate, cleanse, enrich, and rank events.

If you're a business looking to better understand spikes in historical data and you want to optimize forecasting, our unique demand intelligence engine can help you.

Get Started

Contact us now to find out the best solutions for your business. We'll get back to you within 1 working day.

Trusted By

  • Accenture
  • Wyndham
  • Booking.com
  • Amadeus
  • Qantas
  • Domino's

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