Poor feature engineering is one of the leading culprits behind underperforming predictive models.
Predictive modeling success hinges on selecting the features that are most likely to affect the desired outcome. Mobilewalla offers solutions that effectively allow data scientists to outsource aspects of feature discovery.
Through years of refinement using a wide variety of modeling use cases, we have identified nine different feature categories, predictive of many business outcomes.
These features are easy to use across a wide range of business, marketing and data science applications. All of the features are mapped to the IFA (identifier for advertisers) which is the device ID or MAlD (mobile advertiser ID).