As businesses realize the potential of their workforce in increasing or decreasing the productivity and brand image of the organization, companies are increasingly becoming conscious of the need to analyze Human Resources (HR) and their impact on shareholder confidence. The recent events at Twitter that created a storm with massive layoffs have brought to the fore the significance of a workforce aligned with the organizational business goals.
The many challenges of HR turned HR management into a data-driven science where strategic decisions are taken based on ‘people intelligence. From analyzing attrition rates by departments and years and tying them to changes in policies or team leaders, HR Analytics looks at the entire picture. Who are the best performers? Which managers are proving to be the efficient talent scouts and team leaders?
Where are the maximum departures? With salaries touching all-time highs and attrition rates becoming almost a norm across industries, the ability to attract and keep the right talent has become a challenge for every company. Businesses are now focusing on analytics as the tool to understand what employees want and how they perform best.
HR analytics has taken the industry by storm. It is no longer a mere buzzword but a management domain with massive potential for career growth. If you like working with people, you may consider an HR Analytics Course and learn how to value Human Capital: the most valuable capital of any organization.
What is Human Resource (HR) Analytics
As per Gartner, HR analytics, also known as People Analytics, is “the collection and application of talent data to improve critical talent and business outcomes. HR analytics leaders enable HR leaders to develop data-driven insights to inform talent decisions, improve workforce processes and promote positive employee experience.” In other words, it is the measurement of people skills to improve employee performance and devise better incentives to attract and keep the best talents.
It establishes a cause-and-effect relationship between what employees do and the business outcomes of their efforts. The metrics help devise strategies and build a comprehensive report of how the HR department impacts the organization.
With business automation and AI technologies working together to analyze workforce hiring, HR Analytics refers to the use of data analysis tools. The tools leverage various pre-defined metrics for evaluating an employee/team’s performance to make a data-driven decision about job responsibilities, compensation, and benefits.
What value does HR Analytics bring to an organization
Businesses need to keep evolving and transforming to remain competitive. As HR is a critical resource of an organization, departments need to leverage HR analytics to strategize their recruitment, hiring, training, and management strategies.
HR analytics can help an organization understand the challenges and provide a workable solution to address the pain points in managing and retaining employees.
HR analytics brings value to an organization in the following ways:
- Helps to recruit candidates that best match the job profile
- Reviews staff performance and identifies metrics that help benchmark performance
- Reduces the headcount during recessions and cost-cutting plans
- Monitors the way employees work to propose solutions and improve efficiencies
- Makes data-driven decisions to tackle problems and implement changes that boost morale, productivity, and output
- Measures the return on human capital investment
- Periodically reviews to see what’s working and what’s not and tweaks programs for better results
- Compiles, compare and evaluates job applications to fit the right talent to a job profile
- Identifies gaps or inefficiencies caused by wrong talent-mix
Top 6 HR Analytics Tools
With the digital transformation of businesses, the work of HR Analytics means getting hands-on with some of the popular tools and expanding your skill set for a highly relevant resume for HR jobs.
Here is a list of some of the top HR Analytics tools that you can leverage for data-driven decision-making throughout HR:
1. Excel
Excel is the go-to analytics tool from Microsoft and forms the foundations of data analysis. Each time you manually extract data from any of your HR systems, it comes as a comma-separated value (CSV) file that can be handled easily using Excel. Large files can be transformed into Tables in Excel. It is intuitive and easy to use when data sets are small.
2. Python
Any analytics professional will have exposure to programming languages to extract, process, clean, store, and analyze data. Knowledge of Python programming language is a valuable skill for HR Analytics with a choice of many libraries for statistical analysis and visualization. Commonly used IDEs in enterprises are PyCharm and Spyder.
3. R
R statistical software is the most used tool in HR Analytics, primarily because it is free and allows you to analyze and visualize massive datasets across multiple locations. R has an extensive library and many packages for visualizations on the go. The enterprise version is RStudio.
4. Tableau
When we talk about data analysis and visualization, Tableau comes to the top. It is one of the best BI tools for data aggregation, analysis, and visualization
5. Power BI
It is Gartner’s offering for Business Intelligence, with dedicated aggregation, analysis, and visualization. A huge benefit of using Power BI is its ability to connect to unrelated sources of data systems such as SQL, live social media feeds, Excel spreadsheets, machine learning APIs, or cloud-based and on-premises hybrid data warehouses. All these different data sources integrate into Power BI to create HR dashboards and reports for meaningful, visually appealing, and interactive insights. It also offers AI capabilities for more intuitive analysis.
6. SPSS (Statistical Package for Social Science)
This statistical software from IBM is a commonly used tool in HR and social science analytics. Although a statistics and computing background is a help, even candidates new to statistical analysis can learn to manage data within SPSS, as the software interface displays data similar to a spreadsheet, with user-friendly menus, dialogue boxes, and basic commands. The SPSS tool provides data analysis for descriptive and bivariate statistics, with predictions for identifying groups. Other features include data transformation and graphing.
Summary
HR Talent is the resource businesses need to succeed and have a high ROI. It can be achieved only with the right talent. Gathering HR data and devising the most appropriate metrics can help maintain a thriving business.
HR analytics helps the HR department use valuable insights from the data and recommends strategies for improving workforce performance so deadlines can be met and teams work together for the best outcomes.
Taking a course in HR Analytics can help you master all the nuances and learn the tools that help you in your work of HR management.
