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For years, the Human Resources (HR) Department has been regarded as an old-fashioned, fluffy, fuddy-duddy one, not to mention it is one of the least popular departments in any organization. A lot of the work used to be based on gut feeling. Data had to be cobbled from multiple spreadsheets or unwieldy systems to figure out the various metrics about the workforce. There was also difficulty in quantifying and measuring the success of the HR Department.
Such obstacles have become a thing of the past with the advent of sophisticated, cloud-based analytics tools that help the HR department. Data from these tools allows us to utilize it in a timely and effective manner so as to make better organizational decisions when it comes to its people.
People Analytics
People Analytics refers to the data-driven, goal-focused method of studying all people-related processes, functions, challenges, and opportunities at work to elevate these systems and attain achievable success. People Analytics, also referred to as Talent Analytics or HR Analytics, leads to better decision-making through the application of statistics and other data interpretation techniques. Smarter, more strategic, data-backed decisions are the way forward to a rewarding journey at all stages of an employee cycle.
How Can People Analytics Help Businesses?
People analytics can support the business needs of an organization by providing better insight into learning and development, performance management, and organizational decisions. If people analytics are used effectively, HR departments will be instrumental in improving employee development needs and staff morale and improving the ROI of the business.
Advantages of Using People Analytics
- Makes Acquiring Talent More Effective
- Retention
- Improved Productivity
- Compensation
- Employee Satisfaction
- Improve Employee Training
1. Makes Acquiring Talent More Effective
Today, companies look for candidates who fit the culture of the company rather than someone who is talented and/or qualified. Candidates’ historical data offers much insight into which candidates fit the existing workforce culture. It also rules out implicit biases that might crop up during the manual selection.
2. Retention
People analytics helps identify churn patterns using various machine learning algorithms. This helps HR to be proactive and take the necessary steps. In the same vein, data analytics helps establish areas of setup, structure, and culture that make the company appealing to employees. Focusing on these factors will help to improve employee engagement, productivity, and retention.
3. Improved Productivity
People analytics help identify the factors that drive productivity. They help in shaping HR strategy, which includes training, performance management, and other related HR policies.
4. Compensation
Once the organization has all the performance-related data for employees, it becomes easy to structure the compensation packages.
5. Employee Satisfaction
The people analytics tools help to gather information using employee satisfaction surveys, feedback forms, interviews, performance reviews, customer feedback, and so on to make more informed HR decisions.
6. Improve Employee Training
Hiring and helping an employee to settle down should not be the only focus of acquiring the best employees in the industry. The culture of the organization should also support the growth of an employee through various training programs. People analytics steps in here to supply the necessary data to ascertain the best training programs required for every employee.
Common Data Sources for HR Analytics
Common data sources include internal data like:
- Demographic employee data
- Payroll data
- Social network data
- Performance data
- Engagement data
External data sources include labour market data, population data, LinkedIn data, and so on.
Process of People Analytics
The people analytics process should follow these nine steps mentioned below to ensure success in future endeavours:
Step 1: Plan
Develop goals and purposes for the analytics activity. Map the requirements and questions that will need to be answered from the process.
Step 2: Define the Critical Success Factors
Define the measures that will show if the project has been a success. This could be based on factors such as the impact of the project, feedback from users, and so on.
Step 3: Data Audit
Map the data that is currently available and grade its quality. This will highlight the gaps in data, if any, and those that need to be filled in before progressing further.
Step 4: Design the Process
Define roles and set objectives for team members.
Step 5: Design the Data Collection Strategy
Design the collection and processing stages for the analytics activity.
Step 6: Data Collection
Collect data from all sources. It can be derived from established data sets or running new data collection processes.
Step 7: Data Analysis
Analyse the data to obtain insights in the form of recommendations and guidance for the users of the data.
Step 8: Report Data
Report in a clear and uncomplicated way, illustrating solutions if any issues have come up or if further areas of the investigation are needed.
Step 9: Evaluate
Review the data analytics data insight process and evaluate its impact. Review and update the process as needed.
Choosing the Correct Analytics
While looking to deploy people analytics for an organization, it would come to notice that there are several options in the market, such as those from Microsoft, Tableau, IBM, Salesforce, Oracle, and several others.
While staking out the best fit for any organization, it needs to be borne in mind that the selected solution provides the organization with a dashboard that works best for its business. It is also important that the data collected can be used by many stakeholders, such as the Finance department, HR department, and IT department.
Dashboards that provide smart solutions will allow an analytics manager to pull out the information with graphics and analytics custom reports.
Key Features to consider while making a choice:
1. System Customization and Scalability
It is important to choose a system that is flexible and allows you to modify the existing work processes.
2. User-Friendly Interface
The system being chosen should not be too complex, such that employees will not need any rigorous training to understand how the system works.
3. Reliable Support
Before making a choice, it is necessary to check on the reliability and knowledge of the service providers when obtaining technical support.
Key Takeaways
With the latest people analytics and workforce analytics solutions, organizations can dig deeper into the behavioural aspects of work, understand the cause-effect relationship between different human and non-human aspects at work, and make better decisions.
The three key points to remember here are to know what data needs to be quantified and qualified, to understand the latest trends, and to know what the end goals are.
Utilizing actionable insights from people analytics will definitely position an organization for exceptional growth.
