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AuditNet® Audit-library::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 Mining 101: Tools and Techniques

Data Mining: Results and Challenges for Government Program
Audits and Investigations
from GAO

Data Mining for Assurance from CA Magazine

Data Mining and the Auditor's Responsibility from

Data Warehouse Control and Security

Data Warehouse Data Reliability Process Review (April 04) (Contribution Required)

Using Data Mining to Detect Insurance Fraud excellent white paper from SPSS