HR analytics helps you in decision-making because you have access to data, whether it’s attendance data or productivity data. Since this data is collected through software and not manually it’s free from errors and is completely easy and clear to understand.
What are HR Analytics?
Before making any decision, you need to understand what HR analytics is. HR analytics acts like a magnifying glass which examines employee data like attendance records, training information, and feedback. It reveals patterns that help HR understand what is working well and what is not.
- Who is receiving training
- Who has been promoted
- How can employees be kept happy
Why Analytics Matters in Decisions
Whenever you’re making a decision, base it on data, because guesswork can lead to many mistakes.HR analytics eliminates guesswork, and this has several advantages:
- Problems are spotted quickly
HR analytics shows trends, highlighting small problems before they escalate into bigger ones. If employees miss deadlines, analytics can indicate whether it was due to overwork or a problem with a particular tool.
- Fair decision
Analytics helps HR make fair decisions regarding employee promotions, appraisals and bonuses because it understands data not opinions.
- Future planning
Analytics helps HR predict the future like how many employees are needed, which skills are important and when training should be provided.
All these HR analytics can help you make better decisions as an HR professional and ensure your decisions are always accurate and benefit the company.
How HR Analytics Works (Step by Step)
We will explain HR analytics to you in a very easy way showing you how it works step by step. This is because you can only understand the data correctly and make informed decisions when you understand the process.
- Collect employee data
First, HR analytics collects data, whether it’s attendance data, working hours, productivity, feedback, or training data. This data is very important because decisions are made based on it.
- Organize the data
Now the employee data will be converted into charts and graphs. For example, who is meeting their targets or which team is the top performer.
- Analyze trends
Look for patterns, such as which team performs well and when. For example, the sales team might perform very well on Mondays but slow down by the weekend. This will help you understand the workflow of each team or employee and their performance speed.
- Make decisions
Once you have all the data you can easily make decisions as an HR. Which employee should be promoted, who needs training or which team should be assigned which tasks.
Areas Where Analytics Can Help
- Recruitment & Hiring
This helps you determine which hiring method is best, how many employees have been hired, and how many have been rejected. This process allows you to hire smart employees and save both time and money.
- Employee Performance
This includes all the tracked employee performance data. It helps you identify which employees are weak and need support and training. This information is also used for employee promotions and appraisals.
- Employee Engagement
Surveys and feedback always reveal how employees are feeling, and HR can take action to improve engagement and retention.
Common Decisions Improved by HR Analytics
- Promotions
HR departments used to promote employees based on guesswork which sometimes resulted in the wrong person being promoted or leading to problems later on. Now, using HR analytics top performers are identified first and then selected for promotion. For more information on how top performers are chosen, you can read our blog post on “How to identify high-potential employees.”
- Training
This will make it very easy for you to find out which employees need training regarding their work or are having difficulty understanding their tasks. You can also see how many new employees are currently undergoing training. Before HR analytics was used, it was impossible to know how many employees were receiving training or how many employees were weak in their work and needed training.
- Recruitment
When HR analytics was not used you wouldn’t know which hiring process was effective and best. This meant you were paying for platforms that were not actually working and you mistakenly believed that employees were coming to you through those platforms. Since the implementation of HR analytics, HR can identify which sources are effective and make informed decisions about which ones to choose.
- Attendance
HR often lacked visibility into each employee’s attendance including their arrival and departure times, the number of leaves taken, remaining leave balances and instances of absenteeism. Tracking attendance data was challenging and leading to confusion for HR and difficulties in payroll processing.
Now with HR analytics, HR has access to all this information about their employees. If you’d like to learn more about the tools for tracking attendance, you can find more information on our features page.
Benefits of HR Analytics
- Faster Decisions
HR analytics does not make you wait for reports; instead, it provides direct insights, allowing you to make decisions quickly.
- Cost savings
When you use HR analytics to identify the best hiring sources, you stop paying for ineffective apps that you previously used, which reduces wrong hires and unnecessary training, ultimately saving the company money.
- Better Employee Experience
When HR analytics contains all of an employee’s data, such as their performance and attendance, which helps them with promotions and appraisals, and HR uses these analytics to make fair decisions, the employee experience is always positive.
Avoid Common Mistake
- Ignoring Small Trends
When HR analytics shows you small trends or mistakes, and you ignore them thinking they’re insignificant, these seemingly minor errors can later lead to major problems and losses for the company. Therefore, never ignore small mistakes.
- Not Making Decisions Based on Data
Many HR data analytics projects show valuable data, but if decisions aren’t made based on that data, mistakes are often made. Those who make decisions based on HR data analytics are generally more effective.
- Making Complex Reports
Sometimes, HR data analytics experts create lengthy reports, often with charts and graphs for every little detail. The simpler the reports, the easier the decisions will be, so avoid these mistakes.
- Not Taking follow up
HR data analytics only provide useful insights when you act upon them but many HR departments don’t follow analytics, which means the company does not benefit from HR analytics.
Conclusion
HR analytics helps in collecting data by converting confusing employee data into simple and clear insights related to areas like hiring, promotions, and appraisals. HR analytics makes decisions fair, smart, and based on data. There is no need for guesswork and if you want to make these processes more efficient then HR data analytics is your best guide.