A program for discovering errors in the contents of a given database.  

WizRule reads a dataset and establishes the 'rules' that are apparent within the data.
The user has control of certain settings that help to filter out 'false positives' and rules that have a lower probability of being accurate.

Having established the 'rules' WizRule identifies the exceptions for further investigation. The 'rules' themselves may highlight unexpected relationships recorded within the data.

Example:

All invoices to a certain customer are 'normally' (say 95% of the time) are assigned / entered by Sales Rep 108 (this would a typical 'rule') however, within the data there are 3 instances  where the assigned Sales Rep is 112 on an invoice to the same customer (this would be an example of a deviation or exception).

WizRule would first identify such a rule based on an examination of the data, inform the user of the rules 'likelihood' and then list the invoices that deviate for further investigation.

For more information contact us on +44 (0)1892 512348 or email sales@auditware.co.uk

WizRule automatically discovers the rules governing the database and points to the deviations from these rules as suspected errors.

• Reveals all the if-then rules,
• Reveals the mathematical formula rules,
• Reveals spelling errors in names and values,
• Calculates the level of unlikelihood of each deviation,
• Avoids false alarms - almost every deviation having a high level of unlikelihood is indeed an error or at least a case to be examined.
• WizRule works with any PC-based database either directly or via ODBC connections.
• WizRule analyses one flat file or joins several files to one table.

For more information contact us on + 44 (0)1892 512348 or email marketing@auditware.co.uk

• Operating Systems:
  

	Windows Me
	Windows NT
	Windows 2000
	Windows XP



• Processor:
  

Minimum:

486 DX Microprocessor



• RAM:
  

	Minimum:	8 MB
	Recommended:	16 MB