Mokka's data integrity signals help you maintain a clean and accurate candidate database. One key signal identifies instances where the same contact information is shared across multiple candidate profiles within your account.
Identifying Shared Contact Information
Mokka automatically identifies when contact details, such as email addresses or phone numbers, appear on more than one candidate profile. This signal helps you recognize potential duplicate profiles or candidates who may have applied through different channels or at different times, all within your account's view.
Application to Historical and New Profiles
This data integrity signal is applied consistently across your entire candidate database. Mokka processes both newly added profiles and all existing historical profiles to detect shared contact information. This ensures that your view of potential duplicates or related profiles is comprehensive, providing insights into your full candidate pool, not just recent additions.
Impact of Configuration Settings
The way Mokka presents or allows you to act on these data integrity signals is influenced by your account's configuration settings. These settings enable you to define how the system handles identified shared contact information, such as:
- Visibility: Whether these signals are prominently displayed on candidate profiles or in specific reports.
- Actionable Insights: If the system suggests merging profiles or provides tools to review and resolve potential duplicates.
- Alerts: How and when you are notified about shared contact information.
Your configured settings ensure that Mokka's data integrity features align with your organization's specific data management policies and workflows.