\n ${alertsHtml}\n
\n
\n
${data.present}
\n
β
Present
\n
\n
\n
${data.late}
\n
β° Late
\n
\n
\n
${data.absent}
\n
β Absent
\n
\n
\n
${data.onLeave}
\n
ποΈ Leave
\n
\n
\n
π Key Metrics
\n
Attendance Rate: ${data.attendanceRate}%
\n
Punctuality Rate: ${data.punctualityRate}%
\n
Total Employees: ${data.totalEmployees}
\n
![](\"https://yourcompany.com/logo.png\"){kind=logo}
`\n- Adjust grid columns: `grid-template-columns: repeat(5, 1fr);`\n\n### Add SMS Notifications\n1. Add **Twilio** or **Vonage** node after \"Critical Alerts\"\n2. Send to on-call manager for high-severity alerts\n3. Use message: `π¨ ${data.absent} employees absent today. Review required.`\n\n### Multi-Location Support\nModify **Analytics Engine** to group by `Location` field:\n```javascript\nconst locationMetrics = {};\ntodayRecords.forEach(record => {\n const location = employee.location;\n if (!locationMetrics[location]) {\n locationMetrics[location] = { present: 0, absent: 0, late: 0 };\n }\n // ... aggregate by location\n});\n```\n\n### Shift-Specific Analysis\nAdd logic to compare check-in times against shift schedules:\n```javascript\nconst shiftTimes = {\n 'Day': '09:00',\n 'Night': '21:00',\n 'Evening': '14:00'\n};\nconst expectedTime = shiftTimes[employee.shift];\n```\n\n### Integration with HR Systems\nAdd **HTTP Request** node to push data to:\n- **Workday**: POST attendance records via REST API\n- **BambooHR**: Update employee time-off balances\n- **ADP**: Sync payroll-related attendance data\n- **SAP SuccessFactors**: Update time management module\n\n### Advanced Analytics\nAdd **Python** or **R** nodes for:\n- **Predictive Analytics**: ML models to predict absence patterns\n- **Sentiment Analysis**: Correlate attendance with employee surveys\n- **Seasonality Detection**: Identify patterns (Monday blues, pre-holiday trends)\n- **Correlation Analysis**: Link attendance with project deadlines, weather, events\n\n### Dashboard Integration\nExport data to visualization platforms:\n- **Power BI**: Use HTTP Request node to push to streaming dataset\n- **Tableau**: Write to database (PostgreSQL, MySQL) via Execute Query node\n- **Grafana**: Store in InfluxDB time-series database\n- **Custom Dashboard**: Build React app that reads from DailySummary sheet\n\n## Troubleshooting\n\n### Common Issues\n\n**\"Could not find node\"**\n- Ensure all data sources are fetched before Analytics Engine runs\n- Check node names match exactly in `$('Node Name').all()` syntax\n\n**\"No records found\"**\n- Verify Date column format is `YYYY-MM-DD` in Google Sheets\n- Check timezone settings in Schedule Trigger vs. Sheet locale\n- Confirm EmployeeID values match between AttendanceLogs and Employees sheets\n\n**\"Email not sending\"**\n- Verify SMTP credentials are correct\n- Check if \"Critical Alerts?\" condition is being met\n- Test email node independently with static data\n\n**\"Slack message failed\"**\n- Ensure bot is invited to the target channel\n- Verify channel ID format (starts with C, not # symbol)\n- Check bot has `chat:write` permission scope\n\n## Performance Optimization\n\n- **Large Datasets (>1000 employees)**: Add pagination in Google Sheets fetch\n- **Multiple Departments**: Run parallel branches for each department\n- **Historical Analysis**: Schedule separate weekly/monthly summary workflows\n- **Reduce API Calls**: Cache employee master data in workflow static data\n\n## Security Best Practices\n\n- β
Use service account credentials (not personal OAuth)\n- β
Restrict sheet access to service account only\n- β
Store credentials in n8n credential store (encrypted)\n- β
Enable 2FA on all integrated accounts\n- β
Audit logs regularly for unauthorized access\n- β
Use HTTPS for all external API calls\n\n**Discover more workflows β [Get in touch with us](https://www.oneclickitsolution.com/contact-us/)**",
"workflow": {
"id": "QaExWEuXV0wzelZO",
"meta": {
"instanceId": "dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281",
"templateCredsSetupCompleted": true
},
"name": "Employee Attendance Tracker with Daily Summary",
"tags": [],
"nodes": [
{
"id": "0e4bdcc5-f1e5-4bcd-8ebb-9345a564c334",
"name": "Schedule Trigger",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-1440,
0
],
"parameters": {
"rule": {
"interval": [
{
"field": "hours"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "5f2a24aa-5e38-4296-8071-0c7630cc61fc",
"name": "Fetch Attendance Records",
"type": "n8n-nodes-base.googleSheets",
"position": [
-1216,
-96
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "name",
"value": "AttendanceLogs"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "YOUR_ATTENDANCE_SPREADSHEET_ID"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "credential-id",
"name": "googleApi Credential"
}
},
"typeVersion": 4.2
},
{
"id": "0d136a8a-09d5-41bc-a74f-fe6e14a5686a",
"name": "Fetch Employee Master Data",
"type": "n8n-nodes-base.googleSheets",
"position": [
-1216,
96
],
"parameters": {
"options": {},
"sheetName": {
"__rl": true,
"mode": "name",
"value": "Employees"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "YOUR_EMPLOYEE_SPREADSHEET_ID"
},
"authentication": "serviceAccount"
},
"credentials": {
"googleApi": {
"id": "credential-id",
"name": "googleApi Credential"
}
},
"typeVersion": 4.2
},
{
"id": "7a72aa69-8c3d-472c-86d6-b04b4dfa0913",
"name": "Analytics Engine",
"type": "n8n-nodes-base.code",
"position": [
-992,
0
],
"parameters": {
"jsCode": "const attendanceData = $('Fetch Attendance Records').all();\nconst employeeData = $('Fetch Employee Master Data').all();\nconst now = new Date();\nconst today = now.toISOString().split('T')[0];\nconst currentHour = now.getHours();\n\nconst employeeMap = {};\nemployeeData.forEach(emp => {\n employeeMap[emp.json.EmployeeID] = {\n name: emp.json.EmployeeName,\n department: emp.json.Department,\n manager: emp.json.Manager,\n shift: emp.json.Shift || 'Day',\n email: emp.json.Email\n };\n});\n\nconst todayRecords = attendanceData.filter(item => item.json.Date === today);\n\nconst statusCount = {\n present: 0,\n absent: 0,\n late: 0,\n leave: 0,\n wfh: 0\n};\n\nconst statusLists = {\n late: [],\n absent: [],\n wfh: []\n};\n\nconst deptMetrics = {};\n\ntodayRecords.forEach(record => {\n const empId = record.json.EmployeeID;\n const status = record.json.Status;\n const checkIn = record.json.CheckInTime;\n const employee = employeeMap[empId];\n \n if (!employee) return;\n \n const dept = employee.department;\n if (!deptMetrics[dept]) {\n deptMetrics[dept] = { present: 0, absent: 0, late: 0, total: 0 };\n }\n \n deptMetrics[dept].total++;\n \n switch(status) {\n case 'Present':\n statusCount.present++;\n deptMetrics[dept].present++;\n break;\n case 'Absent':\n statusCount.absent++;\n deptMetrics[dept].absent++;\n statusLists.absent.push({ name: employee.name, department: dept, manager: employee.manager });\n break;\n case 'Late':\n statusCount.late++;\n deptMetrics[dept].late++;\n statusLists.late.push({ name: employee.name, department: dept, checkIn: checkIn || 'N/A', lateBy: '15 min' });\n break;\n case 'Leave':\n statusCount.leave++;\n break;\n case 'WFH':\n statusCount.wfh++;\n statusLists.wfh.push({ name: employee.name, department: dept });\n break;\n }\n});\n\nconst totalEmployees = Object.keys(employeeMap).length;\nconst activeEmployees = statusCount.present + statusCount.absent + statusCount.late;\nconst attendanceRate = activeEmployees > 0 ? ((statusCount.present + statusCount.late) / activeEmployees * 100).toFixed(2) : 0;\nconst punctualityRate = (statusCount.present + statusCount.late) > 0 ? (statusCount.present / (statusCount.present + statusCount.late) * 100).toFixed(2) : 0;\n\nconst alerts = [];\nif (statusCount.late > totalEmployees * 0.1) {\n alerts.push({ type: 'warning', severity: 'medium', message: `High tardiness: ${statusCount.late} employees late`, action: 'Review shift timings' });\n}\n\nif (statusCount.absent > totalEmployees * 0.15) {\n alerts.push({ type: 'alert', severity: 'high', message: `High absence rate: ${statusCount.absent} employees absent`, action: 'Investigate issues' });\n}\n\nreturn {\n date: today,\n timestamp: now.toISOString(),\n hour: currentHour,\n totalEmployees: totalEmployees,\n recordsProcessed: todayRecords.length,\n present: statusCount.present,\n absent: statusCount.absent,\n late: statusCount.late,\n onLeave: statusCount.leave,\n wfh: statusCount.wfh,\n attendanceRate: parseFloat(attendanceRate),\n punctualityRate: parseFloat(punctualityRate),\n absenteeismRate: parseFloat(((statusCount.absent / totalEmployees) * 100).toFixed(2)),\n lateEmployees: statusLists.late,\n absentEmployees: statusLists.absent,\n wfhEmployees: statusLists.wfh,\n departmentBreakdown: deptMetrics,\n alerts: alerts,\n alertCount: alerts.length,\n hasHighPriorityAlerts: alerts.some(a => a.severity === 'high'),\n shouldNotifyManagement: alerts.length > 0 || statusCount.absent > 5\n};"
},
"typeVersion": 2
},
{
"id": "7651642d-6966-49bd-b503-7b57369026d2",
"name": "Records Available",
"type": "n8n-nodes-base.if",
"position": [
-768,
0
],
"parameters": {
"options": {},
"conditions": {
"number": [
{
"value1": "={{ $json.recordsProcessed }}",
"value2": 0,
"operation": "larger"
}
]
}
},
"typeVersion": 2
},
{
"id": "bc5e3d2a-5946-4223-af9a-696f54b79828",
"name": "Critical Alerts",
"type": "n8n-nodes-base.if",
"position": [
-544,
-192
],
"parameters": {
"options": {},
"conditions": {
"boolean": [
{
"value1": "={{ $json.shouldNotifyManagement }}",
"value2": true
}
]
}
},
"typeVersion": 2
},
{
"id": "36732aa7-c12f-4af0-acfe-e94b4f64b5ca",
"name": "Format Email",
"type": "n8n-nodes-base.code",
"position": [
-320,
-192
],
"parameters": {
"jsCode": "const data = $input.first().json;\n\nconst alertsHtml = data.alerts.length > 0 ? `\n