White Paper

The Key to Optimizing Retail Marketing Budgets at Data Driven Companies

Many large retailers analyze historical data to project future marketing budget allocations using a marketing modeling mix (MMM) approach.  This descriptive approach however, has its limitations. Using data that is up to six months old to optimize budgets for a dynamic market in which customers, markets and media channels and tools are constantly changing, does not deliver the …

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Mining with a Model Factory

Insurers want to effectively cross-sell policies to consumers, but traditional predictive approaches have had limited results. WorldQuant Predictive’s team believed they could improve marketing conversion rates and outcomes in this vertical. In a recent test, they leveraged the latest technologies and machine learning methodologies to yield a conversion rate of more than 43%, with a …

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Three Critical Components Data-Driven Companies Need to Make Their Business Predictions More Accurate

Companies that use data and AI tools to see around corners and predict customer behavior, sales and risks have a significant competitive edge. Accurate predictions also make for healthier bottom lines. While rich in data these days, most businesses are not getting the most out of their analytics. There are three critical components that need …

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Novel AI-Enabled Virtual Screening Tool Identifies Most Promising Approved Drugs for Success in Treating COVID-19

In the fall of 2020, WorldQuant Predictive, a leader in AI prediction products, undertook the development of a virtual AI-enabled screening tool predictive model for medical research. The goal of the project was to solve something that has evaded scientists to date—how to quickly find and identify already known compounds to treat diseases–saving critical time, …

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Achieve 5-10% Growth With Prediction Technology

CDTs are powerful visual illustrations of how customers make purchasing decisions based on a product’s features and characteristics. At WQP, we leverage proprietary methodologies, data and technology to overcome the three main challenges to developing meaningful CDTs: data, readability, and speed. In this whitepaper, we explain how our predictive methodology solves for the known issues …

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