Abstract: A consolidated business intelligence platform provides customized business analytics for a plurality of customer databases, each associated with a corresponding plurality of customers. Responsive to a request from a user for a customized business intelligence interface, the system determines a customer of the plurality of customers with which the user is affiliated; accesses a set of customization parameters for the determined customer, the customization parameters including a set of data analytics parameters and a set of data display parameters; and identifies, from the plurality of customer databases, a customer database associated with the determined customer. The system analyzes a dataset from the identified customer database using the set of data analytics parameters, and then formats the analyzed dataset for display based on the set of data display parameters, thereby generating the customized business intelligence interface for transmission to the user.

Abstract: A multi-tenant system stores data for customers. The multi-tenant system presents user interfaces allowing users associated with the customers to perform analysis of data stored for the customer. The multi-tenant system determines recommendations for subsequent user actions that can be performed by a user in a context. The context includes a report being analyzed, a type of visualization of the report, one or more interactions performed by the user with the report, and so on. The multi-tenant system presents one or more widgets based on the recommendations that allow the user to perform the recommended action. The multi-tenant system may determine a recommendation based on past interactions of a subset of users of the multi-tenant system, for example, users associated with a type of industry, users having a particular role in an organization, or a level of experience of the user with analysis of data.

Abstract: A consolidated business intelligence platform provides customized business analytics for a plurality of customer databases, each associated with a corresponding plurality of customers. Responsive to a request from a user for a customized business intelligence interface, the system determines a customer of the plurality of customers with which the user is affiliated; accesses a set of customization parameters for the determined customer, the customization parameters including a set of data analytics parameters and a set of data display parameters; and identifies, from the plurality of customer databases, a customer database associated with the determined customer. The system analyzes a dataset from the identified customer database using the set of data analytics parameters, and then formats the analyzed dataset for display based on the set of data display parameters, thereby generating the customized business intelligence interface for transmission to the user.

Abstract: Analytics applications are generated using application modules. An application module stores metadata for use in an analytics application. The application module is associated with one or more data fields that correspond to data used in the analytics reports of an application module. An application module may be a composite application module that includes other application modules. An analytics application is generated from a specification including a set of fields. The set of data fields of the specification are matched against the data fields of the application modules. An application module matches the specification of the analytics application if the specification includes all the data fields of the application module. All matching application modules are selected and sent for deployment of the analytics application. The analytics application generated is configured to present information based on analytics reports.

Abstract: A data transformation system receives data from one or more external source systems and stores and transforms the data for providing to reporting systems. The data transformation system maintains multiple versions of data received from an external source system. The data transformation system can combine data from different versions of data and provide to the reporting system. As a result, external source systems that do not maintain data in a format appropriate for reporting systems and/or do not maintain sufficient historical data to generate different types of reports are able to generate these reports. The data transformation system can also enhance older versions of data stored in the system or exclude portions of data from reports. The data transformation system can purge older versions of data so that older data that is less frequently requested is maintained at a lower frequency than recent data.

Abstract: Analytics applications are generated using application modules. An application module stores metadata for use in an analytics application. The application module is associated with one or more data fields that correspond to data used in the analytics reports of an application module. An application module may be a composite application module that includes other application modules. An analytics application is generated from a specification including a set of fields. The set of data fields of the specification are matched against the data fields of the application modules. An application module matches the specification of the analytics application if the specification includes all the data fields of the application module. All matching application modules are selected and sent for deployment of the analytics application. The analytics application generated is configured to present information based on analytics reports.

Abstract: A data transformation system receives data from one or more external source systems and stores and transforms the data for providing to reporting systems. The data transformation system maintains multiple versions of data received from an external source system. The data transformation system can combine data from different versions of data and provide to the reporting system. As a result, external source systems that do not maintain data in a format appropriate for reporting systems and/or do not maintain sufficient historical data to generate different types of reports are able to generate these reports. The data transformation system can also enhance older versions of data stored in the system or exclude portions of data from reports. The data transformation system can purge older versions of data so that older data that is less frequently requested is maintained at a lower frequency than recent data.

Abstract: A consolidated business intelligence platform provides customized business analytics for a plurality of customer databases, each associated with a corresponding plurality of customers. Responsive to a request from a user for a customized business intelligence interface, the system determines a customer of the plurality of customers with which the user is affiliated; accesses a set of customization parameters for the determined customer, the customization parameters including a set of data analytics parameters and a set of data display parameters; and identifies, from the plurality of customer databases, a customer database associated with the determined customer. The system analyzes a dataset from the identified customer database using the set of data analytics parameters, and then formats the analyzed dataset for display based on the set of data display parameters, thereby generating the customized business intelligence interface for transmission to the user.

Abstract: A data transformation system receives data from one or more external source systems and stores and transforms the data for providing to reporting systems. The data transformation system maintains multiple versions of data received from an external source system. The data transformation system can combine data from different versions of data and provide to the reporting system. As a result, external source systems that do not maintain data in a format appropriate for reporting systems and/or do not maintain sufficient historical data to generate different types of reports are able to generate these reports. The data transformation system can also enhance older versions of data stored in the system or exclude portions of data from reports. The data transformation system can purge older versions of data so that older data that is less frequently requested is maintained at a lower frequency than recent data.