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Featured Content from Infogix
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- In Data Warehouses We Trust?
Data Warehouses have grown in both size and importance in the past few years. What was once ad-hoc and haphazard data mining is now a mission critical element of the operation in the form of risk management, compliance reporting, or financial management. Typical state of the art supporting technologies such as ETL and Data Quality still yield a data result that must be intensively manually controlled to ensure the integrity of the Data Warehouse. This white paper details common underlying causes as well as several potential approaches to reconciliation of Data Warehouse details against source and origination systems.
- Automated Controls for SAP
As more and more companies migrate portions of their information technology portfolio into Enterprise Resource Planning (ERP) software application suites such as SAP, the question of how best to implement automated controls over the information and processes embodied by the ERP module(s) requires careful consideration. This paper explores several critical factors that must be evaluated in order to construct a control framework that will satisfy current and future company, audit, governance, compliance, and regulatory requirements.
- Significant Information Risk Exposure Threatens Your Next Compliance Audit
Application-centric views of IT processing yield controls that lie within applications. Major unchecked sources of risk continue to exist between applications. This white paper discusses the significant information risk points found between applications and the characteristics of automated control systems that best mitigate information risk.
- Information Integrity: The Next Frontier For Data Warehouse Managers
Despite millions of dollars of investment, information within typical data warehouses continues to be inaccurate, incomplete, and inconsistent with source systems. As a result, consumers of reports and information from Data Warehouses experience low confidence and distrust. This white paper explores causes and suggests remedies that align data warehouses with principles of Information Integrity.
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