The Industrial Revolution fueled the growing number of factories and industries, ushering in the concept of Human Resources Management (HRM) to manage the rapidly increasing workforce across different functional roles. In many ways, HRM had used data much before it came to be formally recognized as HR analytics when business organizations used data from a skill test to find the right people for roles. After World War-2, businesses increasingly recognized the importance of data from HR activities like staffing, compensation, competency development and staff retention on their growth and profits. From the later part of the 2000s, many business organizations have implemented HR analytics after observing the visual impact of HR analytics on strategic decisions and in achieving business goals. HR analytics course enables HR managers to leverage the power of data and analytics in driving improved HR decisions.
What Is HR Analytics?
HR analytics is the systemic collection and application of HR talents/skills data to improve talent management, help employees in fruitful and meaningful application of their talent and improve business outcomes.
HR analytics enable HR leaders to utilize data-driven insights to improve workforce management and enhance positive experiences for employees.
What Are HR Analytic Tools?
HR analytic tools enable HR managers to track and analyze data from multiple HR processes like recruitment, training, talent management, turnover, workforce costs and performance management to forecast trends and make informed HR decisions.
The Top Tools in HR Analytics
1) Excel: Excel spreadsheet is a familiar and widely used spreadsheet application. Sound knowledge of the excel functionality will help in required data manipulation to generate objective reports that aid data visualization. ExcelR dashboard is a powerful tool to summarize and communicate complex data on HR.
2) Python: Python is an easy-to-learn tool data scientists use for data analysis. It is a very useful HR analytics software in analyzing human resources data. Python Power Bi integration helps leverage Python’s speed of data analysis to the visual data filtering and comparison of Power Bi, enabling HR Managers in visual HR data analysis and presentation.
3) R: Like Python, the R is considered a better tool for analyzing and visualizing large amounts of data. R tool is the preferred HR analytics software in scenarios involving working with large HR datasets.
4) SPSS: A very popular HR analytics tool because of its user-friendly interface, SPSS is used for data analysis by people who may not be proficient with statistics. Widely used in the social sector, SPSS is a people tool preferred by HR managers in HR data analysis.
5) Oracle HR Analytics: Explicitly designed to support HR analytics, Oracle HR analytics helps collect HR data from different sources and accurate and efficient analysis to provide relevant decision-making insights. Its data analysis functionality offers an objective view of the impact of the recruitment process and payroll metrics on attrition. This software comes with the added functionality of the in-built model building and machine learning technologies.
6) Power Bi: Microsoft’s Power Bi is a powerful software that connects multiple data source systems like Excel sheets and SQL databases. Power Bi consolidates all such data from various sources into an HR dashboard for reporting and visual presentation.
Key Functionalities and Features in HR Analytics Software
HR managers look for the following while deciding on the appropriate HR analytics software or tools:
- User Interface
- Usability or ease of usage
- Value for money
- Workforce analytics
- Turnover forecasting
- Recruitment analytics
- Insights for HR actions
- Reports and presentation
Businesses of the 21st century are not just driven by the need to make profits but also build organizations where employees contribute their talents and skills to business growth while enjoying meaningful association and professional development. HR analytics course is in good demand as aspiring students, and HR professionals seek to be equipped for the HR demands of the times. HR and business leaders will increasingly deploy HR analytics tools or people tools to focus on talent management in building vibrant organizations.