Pressured to perform, many organizations turn to data science and machine learning to understand and predict consumer behavior. But predictive modeling success ultimately hinges on selecting features that are most likely to affect the desired outcome – a time-consuming and error-prone process.
The Mobilewalla Feature Mart offers an innovative alternative with more than 300 sophisticated, highly predictive features that can be used to model a variety of outcomes. These features are predefined across nine key categories and can be applied across industries and use cases. Mobilewalla also provides the data behind the features to train and validate models, and the data science services to augment your internal teams and improve your outcomes.
This tech brief for data scientists explores the underlying challenges of feature selection and explains how to overcome them through data enrichment and pre-defined features.
Use third-party data to understand your customers – and your competitors' customers – more deeply.
Identify and reach your most valuable customers and prospects with campaign-specific audiences.
