The Power of Accurate HR Data

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Incorrect information leads to poor or wrong decisions. In order to solve for this, the ability to understand, detect, and report on such inconsistencies as missing data, data conflicts, etc., is essential.

In order to detect and report on data inconsistencies such as missing data, business rule noncompliance, data conflicts, and more, Nakisa Hanelly HR Data Quality provides a centralized visual interface to identify inconsistencies in data maintenance and other company-specific data quality indicators.

These include:
  • Automated detection of definable quality categories.
  • Dashboard summaries, tabulation of all data issues, data quality metrics and trend graphics.
  • Company-specific prioritization levels and recommended actions to resolve inconsistencies/improve quality.
  • Control error resolution and processing times.


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