Foundations of Payroll Analytics
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Subjects
What are Analytics?
- Analytics Definition
- Business Analytics
- Eight Levels of Analytics
- Three Types of Business Analytics
- Types of Analytics
Methodologies
- Barriers to the Use of Business Analytics
- Barrier to Effective Analysis
- Payroll Analytics
- Framework of Business/Payroll Analytics
- Potential Analytics Pitfalls
Data Maturity
- Dell Data Maturity Model
- Four Factors of Data Maturity
- Ensuring Accurate, Uniform, and Accessible Data Through
Audits
- Auditing the Data
- Sources of Data Errors
- Data Integration Methods and Structures
- Four Components of Analytics Maturity
- Master File Components
- Data Beyond the Master File
- Other Organisational and External Data
- Tables
- Line Graphs
- Bar Graphs
- Pie Charts
Using Analytics to Detect and Prevent Payroll Fraud
- What Is Payroll Fraud
- Detecting and Preventing Payroll Fraud
- Using Benford’s Law
- Finding Ghost (Phantom)
Employees
- Finding Timeclock Abuse
- Falsification of Wages
- Commission and Bonus Fraud
- Expense Reimbursement Fraud
- Employee Misclassification
- Payments After Termination
- Unusual System Entries
- Identifying Inconsistent
- Employee Records
- Becoming a Data-Driven Payroll Leader
- What and How Payroll Metrics Are Used to Monitor the Operation
- How Payroll Analytics Are Used to Measure Performance
- Performance Metrics
- Benchmarking
- APA/GPMI Deloitte Global Payroll Benchmarking Survey
- How Payroll Analytics Benefit the Business
- Payroll’s Contribution to the Business
- Taking the Initiative to Determine Solutions/Efficiencies
- Wage and Hour Compliance
- Comparing Budget to Actual Expenses
- Identifying Increases in Overtime
- Identifying Trends in Total Payroll
- Identifying Possible Employee Turnover
- Projecting Possible Retirements
- Using Substantive Analytical Procedures
- Presenting to the Business Counterparts/Stakeholders
- Organisational Readiness
- Available Tools
- Payroll/HR Dashboards
- Payroll Manager’s Dashboard
- Presenting the Results
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