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Data quality comes first at PredictHQ
Most raw event APIs are limited because they are secondary products for ticketing sites. But verified and intelligent data is PredictHQ's core business. Our team of data scientists has built more than 1,000 machine learning models to ensure the quality and accuracy of our data.
“The quality of forecasts is directly related to high-quality data. If data quality is poor, forecasts will be off, which means schedules – fed by forecasts – will be sub-optimal, costing companies a lot of money.”
01
Aggregate
We aggregate events from hundreds of public and proprietary data sources. This depth and diversity is critical for verifying events and providing the most enriched and trustworthy event information.
02
Standardize
Global coverage of millions of events requires many sources, each with their own schema. PredictHQ does the hard work so every event has exactly the same format.
03
De-Duping
Duplicate events can seriously distort forecasting with false positives and break models. We've built a complex system to detect and remove them automatically.
04
Filter
Other event APIs contain 30% spam or add on events such as parking or VIP tickets. PredictHQ identifies and removes all spam events that have no impact on people movement and demand.
We’ve built the industry standard of event data quality
No one knows event data like we do. To use it in demand forecasting, you need a lot more than an event’s promotional copy. Without rigorous verification and enrichment, event data will ruin your models. That’s why we’ve created QSPD.
Most data isn’t in a standard format and is full of incorrect details with no validation creating major challenges to data science teams. We have more than a thousand machine learning models in our processing pipeline, plus a team dedicated to ensuring our data meets the highest quality standards. We use our knowledge graph and entity system to validate details and add intelligence layers to each event.
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Dynamic pricing: Setting prices and packaging based on smarter forecasts.
Customer stories
Demand forecasting: Getting drivers in the right place ahead of time to improve pick-up times.
Customer stories
Labor optimization: Ensuring the right number of drivers and store staff to meet demand.
Customer stories
PredictHQ is an Accenture Data Services Partner.
Customer stories
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