Microsoft Technology Licensing, LLC

Thierry D'Hers

Amir Netz

Mosha Pasumansky

Irina Gorbach

David Earl Heckerman

Christopher A Meek

Robert L Rounthwaite

Cristian Petculescu

Marius Dumitru

Alexander Berger

Akshai Mirchandani

D Maxwell Chickering

Thomas P Conlon

Robert B Zare

Aleksandar Juric

Bala Atur

A data processing and analysis system is provided. The system includes an analysis engine that queries one or more components of data. A rules component specifies a relationship between at least one dimension of the data with respect to at least one other dimension of the data in order to facilitate an analysis of the data. In one example, the analysis engine is provided as an online analytical processing component.

Cross varying dimension support for analysis services engine

A simple interface may be provided that enables the user to define parameters for aggregation of a semi-additive measure. The interface may enable the user to designate a measure as a semi-additive measure and to pair the measure with an additive aggregation function. The interface may also enable the user to select non-additive dimensions and to pair each non-additive dimension with a corresponding aggregation function. One such aggregation function is a by account aggregation function, which enables each account in an account dimension to be aggregated across a corresponding non-additive dimension according to an associated account type.

System and method for aggregating a measure over a non-additive account dimension

The subject invention pertains to a centralized key performance indicator (KPI) framework and systems and methods of utilization. In particular, KPIs can be defined and centrally stored as data or metadata in a data store. Systems and methods are provided to enable, among other things, KPI definition, storage, identification of defined or available KPIs, and interaction with the KPIs. For instance, an interface is provided to allow KPI data to be requested and retrieved from a source such as a database. A generic application program or users thereof can then interact with and display KPI data without knowing anything a priori about the stored data or the structure thereof.

Centralized KPI framework systems and methods

A calendar customization system comprises an interface component that receives responses to one or more questions relating to a calendar. A execution automatically generates a multi-dimensional structure for the calendar, the structure generated as a function of the responses. For example, the multi-dimensional structure can relate to a Gregorian calendar, a fiscal calendar, a reporting calendar, a manufacturing calendar, and/or an ISO8601 calendar.

System that facilitates maintaining business calendars

Visualization of high-dimensional data sets is disclosed, particularly the display of a network model for a data set. The network, such as a dependency or a Bayesian network, has a number of nodes having dependencies thereamong. The network can be displayed items and connections, corresponding to nodes and dependencies, respectively. Selection of a particular item in one embodiment results in the display of the local distribution associated with the node for the item. In one embodiment, only a predetermined number of the items are shown, such as only the items representing the most popular nodes. Furthermore, in one embodiment, in response to receiving a user input, a sub-set of the connections is displayed, proportional to the user input. In another embodiment, a particular item is displayed in an emphasized manner, and the particular connections representing dependencies including the node represented by the particular item, as well as the items representing nodes also in these dependencies, are also displayed in the emphasized manner. Furthermore, in one embodiment, only an indicated sub-set of the items is displayed.

Visualization of high-dimensional data

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Redmond, WA, United States of America

Thierry D'Hers