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Missing data fields report

People Directory
By Sarah Chen
VP HR at a very nice Company
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What does it do? 


The missing data fields report is a data-quality dashboard that audits employee records to surface gaps, incomplete profiles and suspicious values across the workforce. It scans a defined set of key fields for every active employee and turns the results into headline metrics, drill-down charts, per-field breakdowns, per-employee scorecards and a list of flagged anomalies that need attention.

What's inside? 


The top, the view shows summary KPIs covering overall completeness, total missing values, the number of critical fields below 50% filled, the count of employees with 100% complete data, and the number of anomalies detected (with critical issues highlighted). Below the KPIs, the report is organized into four tabs:

1. The Overview tab visualizes completeness by data category (General Info, Role, Identification, Address, Emergency contact, Compensation, Dates), ranks the fields with the most missing data, and shows an employee-completeness distribution donut.

2. The By Field tab is a sortable table listing every monitored field with its category, filled count, missing count, and a completeness bar, and can be filtered by category.

3. The By Employee tab shows each employee as a card with their completeness percentage, filled/missing counts, any anomaly tags, and a clear list of which specific fields are missing per category.

4. The Anomalies tab classifies issues as Critical, Warningnor Informational and details each one (e.g., implausible age, DOB after start date, invalid phone number, salary without currency), with filters by severity and type.

When should HR use it? 


Use this view as the go-to data hygiene workspace for your people database. It's ideal at the start of every quarter or before major HR processes such as: payroll runs, benefits enrolment, compliance reporting, audits, performance cycles or org-chart publication (where missing or inconsistent data would cause errors). Use the Overview to get a board-level read on data health, the By Field tab to prioritize which fields to chase down across the company, the By Employee tab when working with managers or individual employees to close their specific gaps and the Anomalies tab to catch suspicious or invalid entries before they propagate downstream. It's also useful when onboarding a new HRIS admin, after a bulk import or following a migration to verify the integrity of the dataset.

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