Provides historical switch data for specific ESIDs in Texas, including information on enrollments, drops, switches, maintenance, and consumption requests.
To detect fraud by setting a risk threshold for excessive switching activity.
To engage customers at the right time by understanding their last switch date.
To enable machine learning predictions of customer switching behavior.