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Validis is a web based service which detects anomalies in accounting data in very much the same manner as a spell checker finds errors in a text document. The word itself is derived from a concatenation of Validate and Discover. The primary user base is among accounting professionals both within the financial community of corporate and SME business and across professional accounting practice. It provides a means to identify out of line data that is incomplete, invalid, inconsistent, or inaccurate, an analysis collectively tagged the ‘Four Is’. == Technology == The service, offered by (Validis ) is based on IP owned and patent protected by (Future Route ). Validis presents their service through a web-based interface. On the server side the system uses a number of sophisticated techniques to analyse data for quality problems. Underlying the system is an abstract representation of accounting data, in the form of an ontology of accounting concepts. In an initial setup step the users accounts are automatically mapped into this representation by analysing the Chart of Accounts. The system maintains an Expert System in the form of a body of rules that describe valid, and invalid states for individual transactions, accounts, and other elements of the accounting ontology. Validis employs a specialised rule language developed in house, similar to Prolog and SQL, to create these rules. The rules are written in terms of elements of the accounting ontology, and therefore once a set of accounts has been mapped into it, the rules can immediately be applied to that set of accounts. Validis also uses Information Theory to discover records in the data that are inconsistent with the typical behaviour exhibited in the data. By finding records which have excess information bits relative to the information bits of the individual field values in that record, Validis is able to identify unusual combinations of field values. It presents these unusual combinations to the user in the form of easily understood propositional rules. Numerical values in the data are also subjected to outlier analysis, individually, and agglomerated over time periods and over elements of the accounting ontology. Records with values that are outliers in absolute value terms, or that deviate from patterns identified in the data, are shown to the user. Accounting data uploaded to Validis is also analysed and compared to the Benford Distribution (see Benford's Law), to check that the data has not been artificially generated or manipulated. The user is alerted if the data deviates from the expected distribution. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Validis」の詳細全文を読む スポンサード リンク
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