Technology
The phenomenal growth in scope and complexity of IT requires rigorous testing to ensure that your organization's data and processes are well-protected from the many threats that exist.
Technology
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Identity Management: Terminated Employees
Use a Join to match terminated employee data from HR to the Active Directory file to identify still-active accounts after employee departures.
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SOD
Create a table containing each employee's pairs of duties with a many-to-many Join. Then use a matched Join to identify pairs of employee duties that are prohibited.
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Event Log Analysis
Event logs tend to be unstructured. Create a "flat" file using static conditional fields to render the data in a format that can readily be analyzed.
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System-Level Settings
Extract system settings at regular points in time, then use the Compare command to identify any changes that may have taken place.
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Data Integrity
Data should be rigorously tested prior to analysis to determine whether it is appropriate to use.
There are a variety of tests that can be executed to identify potential data issues.
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Data Migration
Production data flows regularly to data warehouses, where analysts from different parts of the organization can use it without jeopardizing live data. Continuous monitoring of the migration process can quickly identify migration issues before they pose a serious threat. The Join and Compare commands are essential for this purpose.
When new systems are implemented, those commands can also be used to verify that the data has successfully migrated with no integrity issues.
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Data Normalization
Key fields can often be in varying formats from one system to another. To make them suitable for comparison, there are a number of functions that can be used in computed fields to normalize the data:
• SortNormalize
• Normalize
• Upper
• Lower
• Include
• Exclude
• String
• Value
• Zoned
• AllTrim
• Compact
• Split
• Substring
Additional Popular Analytics Tests
No two organizations are identical, but the vast majority consider many of the same tests. Learn more about these popular analytics tests
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