# Attendance Intelligence

Pattern recognition and anomaly detection for workforce attendance

## Attendance Heatmap

Showing attendance patterns for the last 8 weeks. Darker colors indicate higher absenteeism.

0-20% Absent
21-40% Absent
41-60% Absent
61-80% Absent
81-100% Absent
Mon
Tue
Wed
Thu
Fri
Sat
Week 1 (May)
12%
May 1: 12% absent (3/25)
8%
May 2: 8% absent (2/25)
24%
May 3: 24% absent (6/25)
16%
May 4: 16% absent (4/25)
12%
May 5: 12% absent (3/25)
-
Week 2
28%
May 8: 28% absent (7/25)
52%
May 9: 52% absent (13/25)
36%
May 10: 36% absent (9/25)
44%
May 11: 44% absent (11/25)
68%
May 12: 68% absent (17/25)
-
Week 3
72%
May 15: 72% absent (18/25)
84%
May 16: 84% absent (21/25)
76%
May 17: 76% absent (19/25)
48%
May 18: 48% absent (12/25)
56%
May 19: 56% absent (14/25)
-
Week 4
40%
May 22: 40% absent (10/25)
32%
May 23: 32% absent (8/25)
20%
May 24: 20% absent (5/25)
16%
May 25: 16% absent (4/25)
12%
May 26: 12% absent (3/25)
-

### Pattern Analysis: Mangaung Electrical Team

Key Findings:

- Recurring mid-week absenteeism (Wednesdays average 36% absence vs 18% other days)
- Sharp increase in absenteeism following payday (May 12-19)
- Team members 1007, 1012, 1019 account for 42% of all absences

Risk Assessment: 78% probability of organized labor action within 14 days

## Anomaly Detection

#### Group Absenteeism Spike

Date: May 16, 2023 Team: Mangaung Electrical Severity: 9.2/10

84% absenteeism (21/25) - 4.3 standard deviations above normal. Coincided with union meeting in area.

Pattern Match: 89% similar to pre-strike patterns at Thabo site (2022)

#### Transportation Disruption

Date: May 9-12, 2023 Team: Xhariep Labor Severity: 7.5/10

Consistent late arrivals (avg. 1.8hrs) from Botshabelo transport group. Correlates with N6 roadworks.

Impact: 18% productivity drop during period

#### Individual Pattern Change

Employee: #EMP-1012 (J. Moloi) Duration: 3 weeks Severity: 6.8/10

Shift from 98% attendance to consistent Monday absences (last 3 Mondays). Possible health or personal issues.

Pattern Match: 76% similar to disengagement patterns

## Predictive Monitoring

Watch Item | Pattern | Risk Level | Last Triggered | Actions
--- | --- | --- | --- | ---
Mangaung Electrical Absenteeism | 3+ consecutive days >40% absence | High | May 16, 2023 |
Xhariep Transport Delays | 5+ late arrivals from same route | Medium | May 9, 2023 |
Fezile Supervisor Ratios | <1 supervisor per 15 workers | Low | Never |