AuditNet Data Warehousing & Data Mining Resources for Internal Auditors
Internal auditors regularly access organization information for audit purposes. Many organizations now maintain computerized data warehouses containing useful management and financial information for auditors. Auditors therefore need to understand both the concepts of data warehousing as well as data mining techniques. Data warehousing is a process for assembling and managing data from various sources for the purpose of gaining a single, detailed view of part or all of a business. Data mining is the use of automated tools to explore and analyze large amounts of data stored in those data warehouses. This page attempts to provide members of the AuditNet® community with resources for both data warehousing and data mining. If you have additional resources or tools to share contact us.
Data Warehousing and Data Mining: Opportunities for Internal Auditors by Julie David Smith, PhD and Paul John Steinbart, PhD
Data Mining:
Results and Challenges for Government Program
Audits and Investigations from GAO
Data Warehousing - Ensuring Data Integrity Through the Use of Prevent and Detect Controls
Data Mining for Assurance from CA Magazine
Data Mining as a Financial Auditing Tool
Data Mining and the Auditor's Responsibility from AuditSoftware.net
Data Warehouse Control and Security
Data Warehouse Data Reliability Process Review (April 04) (Contribution Required)
Using Data Mining to Detect Fraud excellent white paper from SPSS
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