Apptio, Inc.

Hewlett-packard Development Company, L.p.

Tavis Dean Elliott

Paul Damien McLachlan

Supin Ko

Justin Alexander Friedl

William Byron Moeller

Michael Santiago, Iii

Brian John Bero

Embodiments are directed towards allocating resources in a business system. A data model that includes a plurality data objects may be generated, such that each data object includes a plurality of data object line items. Allocation rules that allocate resources between the data objects may be generated. The allocation rules may be employed to identify key features of data objects, such that the key features are used by the allocation rules to allocate resources. If key features are identified, grouped objects that separately correspond to the data objects that include key features may be generated. Also, grouped object line items may be generated for each of the grouped objects based on each distinct value of the key features, such that the data object line items are collapsed into grouped object line items based on the distinct values of the key features.

Continuously variable resolution of resource allocation

Various embodiments are directed towards including heritage information when allocating costs for a plurality of cost objects. A target object, a source object and heritage objects may be determined from a data model. At least one line item in the source object may be generated by allocating costs from the heritage objects with the generated source object line items corresponding to a line item from a heritage object. At least one line item in the target object may be generated based on allocating costs from the source object. And, at least one generated target object line item may be based on at least one source object line item and its corresponding heritage object line item. A final cost value for the target object may be generated based on a sum of each target object line item and displayed in the data model.

Allocating heritage information in data models

Embodiments are directed towards managing data storage and queries within a database system using global dictionaries with universal primitives (UNIPs) to represent non-numeric data within a mixed numeric/non-numeric environment. Common data types are managed within a same global dictionary through dictionaries that are globally used within the database system. At least non-numeric data within mixed data fields may be stored using a UNIP to identify the stored non-numeric data. The UNIP may take advantage of the IEEE-754 standard for floating point data representation by setting a first field within the UNIP to 0x7ff (HEX) to indicate that the data is non-numeric (NaN) and using remaining bits to store typed data, such as a date or unique indirect reference (e.g. a sequence number or file offset to larger piece of data). The UNIP may then replace the data within the database and be used during operations performed on the data.

Global dictionaries using universal primitives

A computation system includes a receiver, a schema generator, and a table generator. The receiver receives operational related data relating to an IT environment of an organization from remote systems. The schema generator organizes the operational related data into at least one class of IT metric-oriented data based on at least one intrinsic characteristic of the operational related data to generate a schema. The operational related data includes data tables corresponding to IT assets of the organization. The table generator processes an input table based on the schema to generate an output table. The input table includes a starting table having one or more columns. The output table identifies a subset of interrelated data included in the starting table.

Operational-related data computation engine

Embodiments are directed towards budgeting and forecasting of information technology and services. In at least one of the various embodiments, financial allocation models may include multiple cost objects and one or more allocation rules. In at least one of the various embodiments, allocation rules may determine how costs associated with cost objects may be allocated to other cost objects. In at least one of the various embodiments, costs corresponding to one or more selected cost objects may be traced within a financial allocation model. Also, costs associated with multiple cost line items from different cost objects may simultaneously traced for efficient cross-referencing of disparate cost line items. Further, in at least one of the various embodiments, a display of the cost traces may be rendered and displayed to provide a visualization of the traced costs.

System and method for visualizing trace of costs across a graph of financial allocation rules

Method, computer readable medium, and system for specifying before-compiled code, compiling the before-compiled code into a compiled code snippet, specifying an insertion point in a compiled code block of a computer program, and inserting the compiled code snippet into the compiled code block at the specified insertion point while the computer program is running.

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Bothell, WA, United States of America

Tavis Dean Elliott