HR
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Employee experience suffers from inaccurate employee records / master data, outdated or incomplete information (e.g., contacts, performance evaluations)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Wrong or outdated HR master data risks non-compliance with data protection regulations such as GDPR or industry-specific standards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
01
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.
02
Improve data
Integrated workflow and support for data corrections and improvement in familiar tools (e.g., SAP SuccessFactors, Workday)
03
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