What are people analytics?

Before understanding people analytics, it is essential to understand the importance of people. People are at the core of an organisation. Employees are responsible for creating and forming innovative solutions. Employees create products, provide services, deliver results, retain customers and solve complex problems. Hence, it is significant to take decisions based on people data.

With people analytics, you are provided with real-time data that will help you make important decisions when it comes to people. People analytics facilitates the HR team and the organisational leaders to make data-driven decisions. As a result, employee potential and business results are optimum. You may be wondering that to conduct people analytics, you have to be a people. That is not the case! People analytics-based insights are obtained by organisational leaders to make effective data-driven decisions. Organizations that use people analytics well outperform those that don’t. When people analytics are utilised properly, customers have a higher return on assets, profit margins and return on equity than industry benchmarks.

People analytics are associated with raw data that is obtained using HR digital tools utilised by your organization. People analytics are received by applying algorithms, calculations and machine learning to create charts and graphs for accurate visualisation. Leaders utilise this for rapid changes. The most robust people analytics platforms act as a hub for disparate people and business data.

Statistically speaking,

  • More than 25% of organisational leaders believe that people analytics are essential in providing significant insights to the top management
  • 38% of HR leaders believe that people analytics are very effective in aiding leaders to take effective decisions
  • More than 10% of HR leaders believe that people analytics are very effective at providing insights to the entire workforce of the organisation

How do people analytics-based insights work?

1. Data associated with people

The first step of people analytics is collecting people’s data. So, what’s people’s data? It is the collective information of employees gathered by the organisation. Information includes data points like gender, age, tenure, job role, salary, job position, performance ratings and more job-specific data like quota for sales and feedback. HCM technology involves people analytic software that gathers all this information API from your digital HR tools (HRIS, HCM, ATS, payroll, etc.). This information includes application tracking, onboarding, management, compensation and payroll systems. This information is then transformed into data-driven Science.

2. Analytics

The process is not stopped at gathering the data. The data can be humongous and thus, the data is filtered, cleaned, processed and organized after data is gathered. The platform with HR tools allows the leaders to apply algorithms, machine learning and analytics so the platform can apply complex equations and provide essential data. This is how the raw data is converted into data-driven insights. In this stage, creating an analytic data point is also highly essential. The data model creates associations between various data points, making the data more useful to businesses. Without data and analytics, organisational leaders cannot ask important questions. Real-time data is needed to make effective decisions that are based on evidence represented in a clear form.

3. Insights

People analytics platforms are essential to represent the data in a consumable way. Insights are when the data is visualised as charts, graphs, points, questions and answers, booklets and other representative forms that are easy to understand and act on. In previous times, HR leaders had to turn to IT professionals for every data requirement. However, with the introduction of people analytics platforms, users have gained simplified access to data for enhanced and rapid data analysis.

How people analytics-based insights help HR teams

  • Turnover and retention analysis – Retention is a necessity for an organisation since retention depicts that organisational culture and employee benefits provided by the organisation incline positively in favour of the employee. However, many organisations face high turnover and low retention. This enhances the labour cost of the organisation. With the application of people analytics, the HR team can identify the possible employees that might leave the company as well as elucidate the reason for leaving. The employee group can be any group in the organisation including first-year employees or senior leaders. With the application of people analytics, the HR teams can also identify the factors responsible for retention. For example, you may begin to see a correlation between management training and employee retention that you may want to address.
  • Future Workforce modelling – To bring certain actions to fruition, it is necessary to plan carefully. Workforce management begins with workforce planning. Therefore, it is necessary to gain data that will aid in proper planning. With the help of people analytics, you can envision how your workforce would look in the future based on variables that are pertinent to your budget or growth goals. This will help formulate a strategic long-term plan, facilitating more appropriate hiring decisions along the way. You can also use this information to create better compensation and retention plans.
  • Workforce expenditure analysis – Cost associated with labour is one of the major problems for the HR teams. An organisation always tries to increase profitability at a low cost. However, identifying areas that increase the cost for the organisation is important to reduce these costs.One of the high-cost areas is labour cost which can increase due to various factors. Knowing these areas can help the HR teams to reduce labour costs. People analytics-based insights facilitate in identifying these factors, which include patterns of overtime or absenteeism or shortage of staff, and enabling cost reductions.
  • Analysis of management-associated problems – People management is one of the biggest concerns for HR teams. In order to manage people, it is essential to gather people-related data that will help to data-driven effective decisions. Therefore, people management is facilitated by data gathered through people analytics-based insights. Through appropriate data, all the management-related problems can be analysed and resolved.
  • Retirement analysis – Retirement is an important aspect while managing employees. It is essential to have an idea or knowledge regarding possible retirements to prevent staff shortage problems. People analytics-based insights will provide the HR teams with data on who will be retiring in how many years, thus, decreasing uncertainty and facilitating proper workforce planning for the HR team.
  • DEI analysis – DEI has become extremely important in the past and therefore, it is essential that every organisation implements DEI. However, often without the proper data, the DEI presence in the company and the requirement for it, can go unnoticed. Additionally, gaining accurate data is important to truly understand the aspects of DEI in the company. However, in the case of large organisations, it is difficult to identify the accurate implementation of DEI. People analytics facilitates the ability to look at the diversity in the organisation as well as look at compensation to identify pay inequalities existing between genders. Furthermore, people analytics based-insights present the picture of management, for example, whether it is homogenous at all levels or if is there any particular gender that dominates the management. Understanding these aspects help in developing a fair and just workplace environment. Over the long run, these efforts will add up to a better business performance, too.

Ways to apply people analytics-based insights to your business

  1. Achieving fair pay: Fair pay is a high necessity for every individual. It can be achieved by analysing compensation practices. You can apply people analytics to make an assessment of the offers made to the candidate and various essential factors that help an individual receive a fair wage for their work. These aspects allow hiring managers to instantly engage the entire workforce and empower them to make better decisions.
  2. Learning and development: Learning for improvement and facilitating organisational development is very important. With people analytics, you can help your organization to optimize functioning. Real-time data will help you identify areas of improvement. Data on learning and development analytics connects and illustrates the impact of training on business activities. This will help your company save time and make rapid improvements by raising important questions.
  3. Increasing productivity: Data-driven data has become very important to make rapid decisions. Productivity is high when decisions are made and implemented on time. Organizations can improve their productivity and efficiency by using people analytics. This is possible by gathering data, setting target times as goals, assessing deliverables and measuring the productivity index of every employee in the organisation.

In conclusion, people analytics-based insights are extremely important. Through this, you obtain real-time data that will help you make effective decisions. People analytics are extremely beneficial in turnover and retention analysis, future workforce modelling, workforce expenditure analysis, analysis of management-associated problems, retirement analysis and DEI analysis. Therefore, applying people analytics-based insights is highly essential, which can be done by achieving fair pay, learning and development and increasing productivity.