System, software and method for examining a database in a forensic accounting environment
First Claim
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1. A computerized method for conducting a forensic examination of multi-dimensional data stored in a database, comprising the steps of:
- providing multidimensional data in a database accessible to software having real-time data interrogation functionality, the software adapted to analyze different dimensions of the data and to identify at least one of patterns and relationships among the data, categorizing the data into at least one preselected category, loading at least one template defining at least one data analysis attribute preselected to indicate at least one of significant and anomalous data into the software, effecting multi-dimensional data analysis on the data in real-time based on the at least one preselected template attribute, creating at least one profiles defining at least one map to the database to facilitate navigation through the analyzed data, navigating through the analyzed data in the direction of decreasing dimensions of the data based on the at least one profile, and identifying at least one aspect of the data that is at least one of significant and anomalous.
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Abstract
A system, software and method which enable the forensic examination of a database, particularly, a financial database such as a general ledger. The system, software and method leverage “n-” or multi-dimensional data interrogation analytics, particularly, online analytical processing (“OLAP”), to enable real-time data analysis of various dimensions of multi-dimensional data in the database and identification of records that are unusual and/or significant including from patterns or relationships among the data.
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Citations
23 Claims
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1. A computerized method for conducting a forensic examination of multi-dimensional data stored in a database, comprising the steps of:
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providing multidimensional data in a database accessible to software having real-time data interrogation functionality, the software adapted to analyze different dimensions of the data and to identify at least one of patterns and relationships among the data, categorizing the data into at least one preselected category, loading at least one template defining at least one data analysis attribute preselected to indicate at least one of significant and anomalous data into the software, effecting multi-dimensional data analysis on the data in real-time based on the at least one preselected template attribute, creating at least one profiles defining at least one map to the database to facilitate navigation through the analyzed data, navigating through the analyzed data in the direction of decreasing dimensions of the data based on the at least one profile, and identifying at least one aspect of the data that is at least one of significant and anomalous. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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Specification