Method and system for object-oriented management of multi-dimensional data

Abstract

Methods and systems for managing and analyzing multi-dimensional data are provided. Example embodiments provide a Meta-Object Data Management System “MODMS,” which enables users to arrange and to rearrange the hierarchical relationships of the data on an ad-hoc basis and allows the data to be analyzed using any set of attributes (dimensions) while the system is running. The MODMS represents heterogeneous data in a normalized (standardized) fashion using an object type management system that allows the arbitrary coercion of one type of object into another different type of object and automatically resolves attribute dependencies. In one embodiment, the MODMS comprises an object type management subsystem; a meta-object instantiation subsystem; one or more data repositories that hold, for example, the data used to populate objects and object type definitions; and an input / output interface. These components cooperate to allow the creation, management, and analysis of relationships between many different types of single and multi-dimensional data. In one embodiment, the MODMS is used to implement an enterprise portfolio management system.

Description

BACKGROUND OF THE INVENTION[0001]1. Field of the Invention[0002]The present invention relates to methods and systems for managing multi-dimensional data and, in particular, to methods and systems for creating, maintaining, and analyzing portfolios of multi-dimensional data, such as project, asset, and product investments, using an object-oriented paradigm.[0003]2. Background Information[0004]Today's companies, institutions, and other organizations are plagued by the vast amount of data which is now stored electronically and often needs to be analyzed by a variety of persons within the organization relative to business or organizational goals. The need to determine efficiently what data is available for analysis and how to analyze disparate data across organizational management boundaries is an ever-increasing problem as the data being tracked increases and as organizations implement more specialized or distributed functions. Managers, executives, employees, and other personnel, each...

AI Technical Summary

Benefits of technology

[0008]Embodiments of the present invention provide enhanced computer- and network-based methods and systems for managing and analyzing multi-dimensional data. Multi-dimensional data is data having a large plurality of attributes, such as data found in enterprise management systems. Example embodiments provide a Meta-Object Data Management System (“MODMS”), which enables users to arrange and to rearrange the hierarchical relationships of the data on an ad-hoc basis so that the data may be analyzed using any set of attributes (dimensions) while the system is running. The MODMS stores heterogeneous data in a normalized (standardized) fashion using an object type management system, which allows the arbitrary coercion of one type of object into another different type of object and automatically resolves attribute dependencies. The arbitrary coercion of one type of object into another different type of object permits and supports a system whereby any type of investment can be contained within any other type of investment, so investments can be moved within and across portfolios at will.

Problems solved by technology

Today's companies, institutions, and other organizations are plagued by the vast amount of data which is now stored electronically and often needs to be analyzed by a variety of persons within the organization relative to business or organizational goals.

The need to determine efficiently what data is available for analysis and how to analyze disparate data across organizational management boundaries is an ever-increasing problem as the data being tracked increases and as organizations implement more specialized or distributed functions.

This can be a very time consuming and burdensome process if the data set is very large, as is typical.

Images