Digital Solutions

Swipe Data Analytics

Turn raw biometric swipe records into actionable workforce insights. Upload an Excel file and get a full attendance dashboard — heatmaps, anomalies, shift patterns and data quality — in seconds.

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How It Works

1

Upload

Upload your biometric swipe export (Excel / CSV). The parser handles two standard formats — full records and swipe-only files — automatically.

2

Analyse

The engine processes each swipe entry, classifies shifts, detects anomalies, validates data quality, and computes per-employee attendance metrics.

3

Visualise

Explore the interactive dashboard — calendar heatmaps, anomaly lists, shift summaries, and a data-quality panel — and drill into any employee.

Key Features

Everything you need to understand your workforce attendance at a glance.

Attendance Dashboard

  • ✓ Summary stat cards — total employees, present, absent, anomalies
  • ✓ Department and shift breakdown charts
  • ✓ Monthly trend view
  • ✓ Searchable employee list with attendance status

Calendar Heatmap

  • ✓ Per-employee monthly attendance heatmap
  • ✓ Colour-coded by presence, absence, half-day and anomaly
  • ✓ Month-picker navigation
  • ✓ Daily swipe detail on hover

Anomaly Detection

  • ✓ Flags missing swipe-out, early exits, and late arrivals
  • ✓ Anomaly list filterable by employee, date and type
  • ✓ Severity badges on each employee record
  • ✓ Trend count of anomalies over the selected period

Data Quality Panel

  • ✓ Overall data completeness score
  • ✓ Missing field breakdown (employee ID, timestamps, etc.)
  • ✓ Duplicate and inconsistency detection
  • ✓ Actionable fix suggestions per issue type

Supported Input Formats

Works with the two most common biometric system export layouts out of the box.

Format A — Full Record

Includes employee name, ID, department, designation alongside swipe timestamps.

Format B — Swipes Only

Minimal export with just employee ID and swipe timestamps — employee details resolved from master data.

Real Output

Sample Report — May 2026

Generated from a real client's raw swipe data (GDC / GPHS unit).

5
Employees
25
Working Days
72%
Avg Attendance
35.7h
Overtime
15
Anomalies

Employee Attendance Summary

#NamePresentAbsentOT HrsTotal HrsAttendance
1P Ram Kumar1784.7148.8
68%
2Panchan Kumar2148.8175
84%
3Rehana Begam1114083.3
44%
4Ritesh Kumar21420194.8
84%
5Shravan Kumar2052.2136
80%

Anomaly Detection (8 of 15 shown)

DateEmployeeTypeSeverity
2026-05-14Shravan KumarShort DayMedium
2026-05-18Shravan KumarHalf DayMedium
2026-05-19Shravan KumarHalf DayMedium
2026-05-20Panchan KumarShort DayMedium
2026-05-21Panchan KumarShort DayMedium
2026-05-26Rehana BegamMissing Tap OutMedium
2026-05-26Rehana BegamSingle SwipeMedium
2026-05-26Rehana BegamHalf DayMedium

Ready to Unlock Your Attendance Data?

Contact our team to get access or a live demo of the Swipe Data Analytics system.

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