Abstract: Techniques to operate a service with machine generated authentication tokens comprising a authentication token management component to establish a secure connection with a client device based at least partially on client authentication information associated with a first account of the client, receive a request for account information of one or more accounts associated with the first account of the client, provide account information for a second account associated with the first account to the client via the client device, receive a request to generate an authentication token for the second account, validate the request to generate the authentication token based on the client authentication information associated with the client, and a token generation component to generate the authentication token for the second account. Other embodiments are described and claimed.

Abstract: Architecture for slicing data defined on both tabular data sources and in OLAP (online analytical processing) multidimensional data sources by time relative to the current date simultaneously with the same time intelligence (TI) filter on a dashboard page. The architecture employs a simple time period specification (STPS) language used to specify time periods in monitoring server TI filters, and key performance indicator (KPI) filters. The architecture maps all time dimensions to a common set of time aggregations (hierarchy) and to a common calendar.

Abstract: Architecture for slicing data defined on both tabular data sources and in OLAP (online analytical processing) multidimensional data sources by time relative to the current date simultaneously with the same time intelligence (TI) filter on a dashboard page. The architecture employs a simple time period specification (STPS) language used to specify time periods in monitoring server TI filters, and key performance indicator (KPI) filters. The architecture maps all time dimensions to a common set of time aggregations (hierarchy) and to a common calendar.

Abstract: Users are enabled to utilize data from performance metrics to drive the behavior of geometric shapes to visualize business performance and create new composite objects that show magnitude, patterns of structured and unstructured data, interrelationships, causalities, and dependencies. Presentations are then rendered in a performance metric application or in another application through an embeddable user interface using the geometric shapes and composite objects. Automatic update of presented information in response to changes in the underlying data is enabled through the use of composite objects.