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Automate external data discovery and enrichment for more accurate predictive models.
Every CRO Needs Better Data in This Time of Uncertainty
Your organization’s risk management strategies are going to need a major overhaul. Insights from your historical data simply won’t be enough to help you assess the risks that are coming your way. You need to look at sources outside your organization.
In this guide, we reveal how and why external data improves your machine learning risk models by reducing risk, improving accuracy, and enhancing your decision-making process.
In this guide you’ll learn:
Automate external data discovery and enrichment for more accurate predictive models.
It's time to take feature generation - a subset of feature engineering - from an art to a science by opening up additional data sources to achieve breakthroughs in predictive models.
This complete guide breaks down data acquisition into six steps, including data provider due diligence and data provider tests to uplift your model's accuracy.
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