Abstract: A service system provides users with access to online services. As part of providing the services to users, the service system stores data for users in a data storage system. When the service system receives a request from an administrator of the system for user data stored in the data storage system, the service system identifies the data requested by the administrator. The service system also determines policies that apply to the data. The determined policies indicate transformations that are to be performed on the data to protect the privacy of the users. The service system transforms the user data as indicated by the policies and provides the transformed user data to the administrator.

Abstract: A service system provides users with access to online services. As part of providing the services to users, the service system stores data for users in a data storage system. When the service system receives a request from an administrator of the system for user data stored in the data storage system, the service system identifies the data requested by the administrator. The service system also determines policies that apply to the data. The determined policies indicate transformations that are to be performed on the data to protect the privacy of the users. The service system transforms the user data as indicated by the policies and provides the transformed user data to the administrator.

Abstract: An online system stores objects representing potential transactions of an enterprise. The online system uses machine learning techniques to predict likelihood of success for a potential transaction object. The online system stores historical data describing activities associated with potential transaction objects and uses the stored data as training dataset for a predictor model. The online system extracts features describing potential transaction objects and provides these as input to the predictor model for predicting the likelihood of success of a given potential transaction. The online system may use predictions of likelihood of success of potential transactions to identify a set of potential transactions that should be acted upon to maximize the benefit the enterprise within a time interval, for example, by the end of the current month.