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Automate external data discovery and enrichment for more accurate predictive models.
Could your business survive the next time the market crashes?
If the current economic crisis has shown the business world anything, it’s that no amount of data analysis can prepare you for the event of having the financial market flipping upside down.
Now that we’re in the midst of something entirely new, we know that you need to be data science-driven to secure your success. To move from simple analysis to robust, predictive modeling. To merge the most valuable external datasets with what you already know.
Our new guide breaks down:
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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