Microsoft Technology Licensing, LLC

Baomin Li

Mark Xiaohong Yang

Peiyuan Yan

George Yan

Xiaohong Mark Yang

Kevin Robert Schmidt

Scott Sebelsky

Steven L Hoberecht

Gordon Goetsch

Architecture includes for translating server calculations into client application formulas. The architecture determines dependencies, performs formulae translation, and processes data retrieval queries using the translated formulae. In one implementation, the architecture translates performance management server calculations into spreadsheet application formulas so that the impact of changes can be reflected immediately. Moreover, this technique does not require updating and querying of the performance management server. An algorithm is provided that allows translation of the backend formula (e.g., MDX&#x2014;multidimensional expressions) directly into the spreadsheet application such that the impact on calculated values by an input change can be reflected instantaneously in the sheet.

Spreadsheet formula translation of server calculation rules

Computer-readable storage media, computer-implemented methods, and systems are disclosed for a multi-platform calculation rule language and its environment. A calculation rule, presented in an expression language and specifying one or more functions, is received. The expression language, for a plurality of different platforms, allows each of a plurality of functions to be expressed using a common syntax. A selected platform is identified on which the calculation rule is to be executed. The calculation rule is resolved to the attributes of the data model in the selected platform to apply the calculation rule to the data model. The calculation rule is executed by performing the one or more functions specified in the calculation rule, and the results from executing the calculation rule are reported.

Multi-platform business calculation rule language and execution environment

Data allocation is performed by translating a rule set to a query list. An allocation engine receives the rule set and the data and generates a query list. The query list may be in MDX or SQL syntax. After modifying the queries in the list into a list of physical queries that match the specific characteristic of the data store, a modeling abstraction layer provides the physical queries to the data store engine to perform the queries and provide the results to the allocation engine. The allocation engine allocates the data among existing or new hierarchical levels based on the query results. The allocated data may be stored in the same data store as the original data.

Using multi-dimensional expression (MDX) and relational methods for allocation

Computer-implemented methods and computer-readable storage media are disclosed to facilitate the application of business rules. A rule is received, the rule defining one or more calculations to be performed on specified data stored in a multidimensional database to yield at least one result. At least one database query is generated seeking the specified data to be retrieved from the multidimensional database. An intermediary table is created to accommodate the specified data retrieved from the multidimensional database. The specified data is stored in the intermediary table and the specified data is manipulated when the data is retrieved or after the specified data is stored in the intermediary table.

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Renton, WA, United States of America

Baomin Li