What is Employee Data? Examples, Providers & Datasets to Buy

Employee Data Use Cases in Detail

HR Management

Employee data is primarily used for effective HR management within an organization. This includes various tasks such as employee onboarding, performance evaluation, training and development, compensation and benefits management, and employee engagement. By maintaining comprehensive employee data, HR departments can efficiently manage the workforce, make informed decisions, and ensure compliance with labor laws and regulations.

Payroll and Benefits Administration

Employee data is crucial for payroll and benefits administration processes. It enables accurate calculation of salaries, wages, bonuses, and deductions based on factors like attendance, leave, overtime, and tax regulations. Additionally, employee data helps in managing benefits programs such as health insurance, retirement plans, and other employee perks. This use case ensures timely and accurate compensation and benefits disbursement to employees.

Talent Acquisition and Succession Planning

Employee data plays a vital role in talent acquisition and succession planning strategies. It helps recruiters and hiring managers identify suitable candidates for job vacancies by analyzing skills, qualifications, experience, and performance records. Employee data also aids in succession planning by identifying potential candidates for key positions within the organization, ensuring a smooth transition during leadership changes or employee turnover. This use case ensures the organization has a strong talent pipeline and can effectively fill critical roles.

Types of Employee Data

Employee data typically includes various types of information that an organization collects and manages about its employees for HR and administrative purposes. These data types can vary from one organization to another, but here are some common categories of employee data:

1. Personal Information:
   • Full name
   • Date of birth
   • Social security number (or equivalent)
   • Gender
   • Marital status
   • Nationality or citizenship
   • Contact information (address, phone number, email)
2. Employment Information:
   • Job title
   • Employee ID or unique identifier
   • Department or team
   • Date of hire
   • Employment status (full-time, part-time, contract, etc.)
   • Work location
   • Reporting structure (supervisor, manager, etc.)
3. Compensation and Benefits:
   • Salary or hourly wage
   • Pay frequency (e.g., bi-weekly, monthly)
   • Pay rate changes
   • Bonuses and incentives
   • Benefits enrollment (health insurance, retirement plans, etc.)
   • Tax withholding information
4. Work History:
   • Previous employment history
   • Promotions and transfers
   • Performance reviews
   • Disciplinary actions or warnings
   • Termination or resignation details
5. Time and Attendance:
   • Work hours
   • Attendance records
   • Overtime hours
   • Paid time off (vacation, sick leave, holidays)
   • Timekeeping records
6. Training and Development:
   • Training and certification records
   • Skillset and qualifications
   • Professional development history
   • Training needs and plans
7. Emergency Contacts:
   • Names and contact information of emergency contacts
8. Health and Medical Information:
   • Health insurance details
   • Disability status
   • Medical leave records
   • Workplace injury or illness records
9. Diversity and Inclusion:
   • Race/ethnicity
   • Disabilities or accommodations
   • Gender identity and sexual orientation (in some cases)
10. Performance Data:
    • Goals and objectives
    • Performance appraisals
    • Achievements and recognition
11. Employee Surveys and Feedback:
    • Results of employee surveys
    • Feedback and comments
    • Suggestions and complaints
12. Exit Data:
    • Reason for termination
    • Exit interview feedback
    • Return of company property

Main Attributes of Employee Data

Employee data typically includes a range of attributes that provide information about an individual employee. These attributes may include personal details such as name, age, gender, contact information, and address. Additionally, employee data often includes employment-related information such as job title, department, date of hire, salary, benefits, and performance evaluations. Other attributes that might be found in employee datasets include educational background, certifications, training records, attendance, leave history, and disciplinary actions. Here’s a table of the main attributes you might find on Employee Datasets: [Table not provided].

How are Employee Data products priced?

Employee datasets are typically priced based on various factors such as the size of the dataset, the level of detail and accuracy of the information provided, and the source from which the data is obtained. The pricing structure may also depend on the specific requirements of the buyer, such as the industry or the purpose for which the data will be used. Additionally, the reputation and credibility of the data provider can influence the pricing. Generally, employee datasets are priced on a per-record basis or through subscription models, where buyers pay a recurring fee for access to the data. The pricing of employee datasets can vary significantly, ranging from affordable options for small businesses to more expensive packages for larger organizations with specific needs.