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Optimize your HR processes

Top 5 pain points related to data quality issues in HR

Poor employee experience

Employee experience suffers from inaccurate employee records / master data, outdated or incomplete information (e.g., contacts, performance evaluations)

Operational inefficiencies

Suboptimal processes to rectify data errors (e.g., manual comparison & consolidation of Excel files), delaying payroll processing, benefits administration, recruiting, Group consolidations etc.

Compliance violations and fines

Wrong or outdated HR master data risks non-compliance with data protection regulations such as GDPR or industry-specific standards

Impaired decision-making

Impaired decision-making by leadership as unreliable data flaws HR analytics and insights, decisions and HR strategies

Reputational damage

Employer branding and stakeholder trust suffers as poor data is hindering efficient HR processes and performance, reflecting poorly on the company’s professionalism and commitment to employee well-being


How the DQ Platform supports 

Identify data issues automatically

75+ HR-specific, readily available Data Quality rules + smart detection of additional company-specific HR Data Quality rules, checking for invalid inputs, inconsistencies, unrealistic entries, illogical relationships e.g., for circular references in manager hierarchies, entry/exit dates etc.


Improve data 

Integrated workflow and support for data corrections and improvement in familiar tools (e.g., SAP SuccessFactors, Workday)


Ensure data quality

Issue prevention directly at the source, e.g., in SAP SuccessFactors or other HR systems

Optimized HR processes with reliable data

+20% increased employee productivity by saving time 

Improved employee satisfaction and engagement

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